ANNA UNIVERSITY : : CHENNAI 600 025

UNIVERSITY DEPARTMENTS
M.E. MOBILITY ENGINEERING
REGULATIONS – 2023
CHOICE BASED CREDIT SYSTEM

VISION
The Department of Mechanical Engineering strives to be recognized globally for
excelling in engineering education and research leading to innovative,
entrepreneurial, and competent graduates in Mechanical Engineering and allied
disciplines.

MISSION
1. Providing world class education by fostering effective teaching learning
process that is supported through pioneering and cutting-edge research to
make impactful contribution to the society.

2. Attracting highly motivated students with enthusiasm, aptitude, and interest

in the field of Mechanical and allied Engineering disciplines.

3. Expanding the frontiers of Engineering and Science in technological

innovation while ensuring academic excellence and scholarly learning in a
collegial environment.

4. Excelling in industrial consultancy and research leading to innovative

technology development and transfer.

5. Serving the society with innovative and entrepreneurially competent

graduates for the national and international community towards achieving
the sustainable development goals.
 ANNA UNIVERSITY : : CHENNAI 600 025
UNIVERSITY DEPARTMENTS
M.E MOBILITY ENGINEERING
REGULATIONS – 2023
CHOICE BASED CREDIT SYSTEM

PROGRAMME EDUCATIONAL OBJECTIVES (PEOs)

The Mobility Engineering program seeks to prepare PG students for productive and rewarding
careers in the field of mobility. The PEOs are listed below:

(i) Acquire knowledge and employability in mobility with requisite skills facilitating quick
progress in graduands career
(ii) Inclination towards advanced research for mitigating the challenges in mobility
systems.
(iii) Progressing as a mobility expert/entrepreneur for providing solutions towards
improving the efficacy and environmental sustainability of mobility systems.

PROGRAMME OUTCOMES (POs):

PO Programme Outcome

1 An ability to independently carry out research/investigation and development work to

solve practical problems.
2 An ability to write and present a substantial technical report/document.

3 Students should be able to demonstrate a degree of mastery over the area as per
the specialization of the programme.
4 Technically sound and competent to work in a challenging mobility industry
Ability to transfer acquired knowledge through innovative and modern teaching
5
methodologies
Capability to excel in core mobility research at national and international institutions /
6
laboratories

PEO & PO Mapping

PO
PEO
1 2 3 4 5 6
I. 3 3 3 3 2 3
II. 3 2 3 1 1 3
III. 2 2 2 3 3 3
 PROGRAMME ARTICULATION MATRIX

COURSE NAME PO1 PO2 PO3 PSO4 PSO5 PSO6

Advanced Numerical Methods 3 2 - - 3 2
Concepts In Electronics Engineering 3 2 - - 3 2
SEMESTER I

Modern Engine Technologies 3 2 - - 3 2

Fluid Mechanics and Heat Transfer 3 2 - - 3 2
Research Methodology and IPR 3 2 - - 3 2
Automotive Technology 3 2 - 2 2 2
Electric Vehicle Laboratory 3 2 - - 3 2
Simulation Laboratory - I 3 2 - - 3 2
YEAR I

Electric Vehicle Technology 3 2 - - 3 2

Sensors and Data Acquisition System 3 2 - - 3 2
Energy Storage Technologies
SEMESTER II

3 2 - - 3 2
Professional Elective - I - - - - - -
Professional Elective - II - - - - - -
Professional Elective – III - - - - - -
Simulation Laboratory - II 3 2 - - 3 2
Electric Vehicle Laboratory 3 2 - - 3 2
Summer Internship (4 Weeks) 3 3 3 3 2 3
Professional Elective – IV - - - - - -
SEMESTER III

Professional Elective – V - - - - - -
Research Data Analysis Laboratory 3 3 2 1 3 1
Technical Seminar 1 3 1 1 2 2
YEAR II

Project Work – I 3 3 3 3 3 3
SEMESTER IV

Project Work – II
3 3 3 3 3 3
 ANNA UNIVERSITY: CHENNAI 600 025
UNIVERSITY DEPARTMENTS
M.E. MOBILITY ENGINEERING
REGULATIONS – 2023
CHOICE BASED CREDIT SYSTEM
CURRICULUM AND SYLLABI FOR SEMESTER I TO IV

SEMESTER - I
PERIODS TOTAL
SL. COURSE
COURSE TITLE CATEGORY PER WEEK CONTACT CREDITS
NO. CODE
L T P PERIODS
THEORY
1. MA3155 Advanced Numerical Methods FC 4 0 0 4 4
2. Concepts in Electronics
MR3151 FC 2 0 2 4 3
Engineering
3. IC3102 Modern Engine Technologies PCC 3 0 0 3 3
4. Fluid Mechanics and
EY3151 PCC 3 1 0 4 4
Heat Transfer
5. MB3101 Automotive Technology PCC 4 0 0 4 4
6. RM3151 Research Methodology and 2 1 0 3
IPR RMC 3
PRACTICAL
7. MB3111 Simulation Laboratory – I PCC 0 0 2 2 1
TOTAL 18 2 4 24 22

SEMESTER - II

PERIODS TOTAL
SL. COURSE
COURSE TITLE CATEGORY PER WEEK CONTACT CREDITS
NO. CODE
L T P PERIODS
THEORY
1. MB3201 Electric VehicleTechnology PCC 4 0 0 4 4
2. Sensors and Data Acquisition
MR3152 PCC 3 0 4 7 5
System
3. EY3061 Energy StorageTechnologies PCC 3 0 0 3 3
4. Professional Elective - I PEC 3 0 0 3 3
5. Professional Elective - II PEC 3 0 0 3 3
6. Professional Elective – III PEC 3 0 0 3 3
PRACTICAL
7. MB3211 Simulation Laboratory – II PCC 0 0 4 4 2
8. MB3212 Electric Vehicle Laboratory PCC 0 0 4 4 2
9. MB3213 Summer Internship EEC 0 0 0 0 2
TOTAL 19 0 12 31 27
 SEMESTER-III

PERIODS TOTAL
SL. COURSE
COURSE TITLE CATEGORY PER WEEK CONTACT CREDITS
NO. CODE
L T P PERIODS
THEORY
1. Professional Elective IV PEC 3 0 0 3 3
2. Professional Elective V PEC 3 0 0 3 3
PRACTICAL
3. Research Data Analysis
IC3361 Laboratory PCC 0 0 2 2 1
4. MB3311 Technical Seminar EEC 0 0 2 2 1
5. MB3312 Project Work - I EEC 0 0 12 6 6
TOTAL 6 0 16 16 14

SEMESTER-IV

SL. PERIODS TOTAL

COURSE
NO. COURSE TITLE CATEGORY PER WEEK CONTACT CREDITS
CODE
L T P PERIODS
PRACTICAL
1. MB3411 Project Work – II EEC 0 0 24 24 12
TOTAL 0 0 24 24 12

TOTAL: 75 CREDITS
 FOUNDATION COURSES (FC)
PERIODS TOTAL
SL. COURSE
COURSE TITLE CATEGORY PER WEEK CONTACT CREDITS
NO. CODE
L T P PERIODS
1. MA3155 Advanced Numerical FC 4 0 0 4 4
Methods
2. Concepts in Electronics FC 2 0 2
MR3151 4 3
Engineering

PROFESSIONAL CORE COURSES (PCC)

PERIODS TOTAL
SL. COURSE
COURSE TITLE CATEGORY PER WEEK CONTACT CREDITS
NO. CODE
L T P PERIODS
1. Modern Engine PCC 3 0 0 3 3
IC3102
Technologies
2. Fluid Mechanics and
EY3151 PCC 3 1 0 3 4
Heat Transfer
3. MB3101 Automotive Technology PCC 4 0 0 4 4
4. Electric Vehicle
MB3201 PCC 4 0 0 4 4
Technologies
5. Sensors and Data
MR3152 PCC 3 0 3 3
Acquisition System 0
6. Energy Storage
EY3061 PCC 3 0 0 3 3
Technologies
7. Electric Vehicle
MB3212 PCC 0 0 2 2 1
Laboratory
8. MB3111 Simulation Laboratory- I PCC 0 0 2 2 1
9. Electric Vehicle
MB3212 PCC 0 0 4 4 2
Laboratory
10. Research Data Analysis
IC3361 PCC 0 0 2 2 1
Laboratory
 PROFESSIONAL ELECTIVE COURSES (PEC)

PERIODS TOTAL
SL. COURSE
COURSE TITLE CATEGORY PER WEEK CONTACT CREDITS
NO. CODE
L T P PERIODS
1. EY3052 Fuel Cell Technology PEC 3 0 0 3 3
2. Thermal Management of
RA3053 PEC 3 0 0 3 3
Electronics and Batteries
3. Automotive Embedded
ET3251 PEC 3 0 0 3 3
Systems
4. Autonomous and
IC3054 Connected Vehicle PEC 3 0 0 3 3
Systems
5. Hydrogen – Production
IC3052 PEC 3 0 0 3 3
and Utilisation
6. Advanced Combustion
IC3051 PEC 3 0 0 3 3
Technologies
7. Computational Fluid
IC3253 Dynamics for Mobility PEC 2 0 2 4 3
Systems
8. Optimization Techniques
MB3001 PEC 3 0 0 3 3
for Mobility
9. Machine Learning in
MB3002 PEC 3 0 0 3 3
Mobility
10. Electric Vehicle Charging
PW3151 PEC 3 0 0 3 3
Infrastructure
11. Electric Vehicles and
PW3052 PEC 3 0 0 3 3
Power Management
12. Electrical Drives and
PW3059 PEC 3 0 0 3 3
Control
13. ET3252 Embedded Control for
Electric Drives PEC 2 0 2 4 3

EMPLOYABILITY ENHANCEMENT COURSES (EEC)

PERIODS TOTAL
SL. COURSE
COURSE TITLE CATEGORY PER WEEK CONTACT CREDITS
NO. CODE
L T P PERIODS
1. MB3311 Technical Seminar EEC 0 0 2 2 1

2. Summer Internship
MB3213 EEC
– 4 weeks 0 0 0 0 2
3. EEC
MB3312 Project Work – I 0 0 6 6
6
4.
MB3411 Project Work – II
EEC 0 0 24 24 12
 ME MOBILITY ENGINEERING
S.NO
Subject Area Credits Per Semester Credits Total

I II III IV
1. FC 7 0 0 0 7
2. PCC 12 16 1 0 29
3. PEC 0 9 6 0 15
4. RMC 3 0 0 0 3
5. EEC 0 2 7 12 21
TOTAL CREDIT 22 27 14 12 75
MA3155 ADVANCED NUMERICAL METHODS LTPC
4004

OBJECTIVES:
 To impart knowledge in understanding the advantages of various solution procedures of
solving the system of linear and nonlinear equations.
 To give a clear picture about the solution methods for solving the BVPs and the system of
IVPs.
 To acquire knowledge in solving time dependent one and two dimensional parabolic PDEs
by using various methodologies.
 To strengthen the knowledge of finite difference methods for solving elliptic equations.
 To get exposed to the ideas of solving PDEs by finite element method.

UNIT I ALGEBRAIC EQUATIONS 12

Systems of linear equations: Gauss Elimination method, pivoting techniques, Thomas algorithm
for tridiagonal system – Jacobi, Gauss Seidel, SOR iteration methods - Systems of nonlinear
equations: Fixed point iterations, Newton Method, Eigenvalue problems: power method, Faddeev
– Leverrier Method.

UNIT II ORDINARY DIFFERENTIAL EQUATIONS 12

Runge Kutta Methods for system of IVPs, numerical stability, Adams-Bashforth multistep method,
solution of stiff ODEs, shooting method, BVP: Finite difference method, collocation method,
orthogonal collocation method, Galerkin finite element method.

UNIT III FINITE DIFFERENCE METHOD FOR TIME DEPENDENT PARTIAL 12

DIFFERENTIAL EQUATION 12
Parabolic equations: explicit and implicit finite difference methods, weighted average
approximation - Dirichlet and Neumann conditions – Two dimensional parabolic equations – ADI
method; First order hyperbolic equations – method of characteristics, Lax - Wendroff explicit and
implicit methods; numerical stability analysis, method of lines – Wave equation: Explicit scheme-
Stability of above schemes.

UNIT IV FINITE DIFFERENCE METHODS FOR ELLIPTIC EQUATIONS 12

Laplace and Poisson’s equations in a rectangular region: Five point finite difference schemes,
Leibmann’s iterative methods, Dirichlet and Neumann conditions – Laplace equation in polar
coordinates: finite difference schemes – approximation of derivatives near a curved boundary
while using a square mesh.

UNIT V FINITE ELEMENT METHOD 12

Partial differential equations – Finite element method - collocation method, orthogonal collocation
method, Galerkin finite element method.
TOTAL: 60 PERIODS
OUTCOMES:
At the end of the course, students will be able to
CO1 Get familiarized with the methods which are required for solving system of linear, nonlinear
equations and eigenvalue problems.
CO2 Solve the BVPs and the system of IVPs by appropriate methods discussed.
CO3 Solve time dependent parabolic PDEs by using various methodologies up to dimension two.
CO4 Solve elliptic equations by finite difference methods.
CO5 Use the ideas of solving PDEs by finite element method.
REFERENCES:
1. Burden, R.L., and Faires, J.D., “Numerical Analysis – Theory and Applications”, Cengage
Learning, India Edition, New Delhi, 2010.
2. Gupta S.K., “Numerical Methods for Engineers”, New Age Publishers, 3rd Edition, New Delhi,
2015.
3. Jain M. K., Iyengar S. R. K., Jain R.K., “Computational Methods for Partial Differential
Equations”, New Age Publishers, 2nd Edition, New Delhi, 2016.
4. Morton K.W. and Mayers D.F., “Numerical solution of partial differential equations”, Cambridge
University press, Cambridge, 2005.
5. Sastry S.S., "Introductory Methods of Numerical Analysis", Prentice - Hall of India Pvt. Limited,
5th Edition, New Delhi, 2012.
6. Saumyen Guha and Rajesh Srivastava, “Numerical methods for Engineering and Science”,
Oxford Higher Education, New Delhi, 2010.

CO-PO Mapping:

PO1 PO2 PO3 PO4 PO5 PO6

CO1 3 3 3 3 2 2
CO2 3 3 3 3 2 2
CO3 3 3 3 3 2 2
CO4 3 3 3 3 2 2
CO5 3 3 3 3 2 2
MR3151 CONCEPTS IN ELECTRONICS ENGINEERING L T P C
2 0 2 3
COURSE OBJECTIVES:
1. To recall the functionality of fundamental electronic components.
2. To understand the functions of operational amplifier and its applications.
3. To review and use the logic gates for various digital circuit development.
4. To understand the functions and uses in measurement.
5. To learn the power management on various electronic units.

UNIT I ELECTRONIC COMPONENTS AND DEVICES 6

Resistors, Capacitors, Inductors, Transformers – Types and Properties - PN Junction Diodes,
Zener Diodes, Transistors, Thyristors – Types - Operating Mechanism -Characteristics and
Applications. LED Construction and Working – Applications, Types of Displays and its
Construction – Applications.

UNIT II OPERATIONAL AMPLIFIERS AND APPLICATIONS 6

Operational Amplifiers – Principles, Specifications, Characteristics and Applications -
Arithmetic Operations, Integrator, Differentiator, Comparator, Schmitt Trigger, Instrumentation
Amplifier, Active Filters, Linear Rectifiers, Waveform Generators, Sample and Hold Circuits,
D/A Converters, Feedback and Power Amplifiers, Sine Wave Oscillators.

UNIT III DIGITAL ELECTRONICS 6

Number Systems – Logic Gates – Boolean Algebra – Simplification of Boolean Functions –
Study of Combinational Logic Circuits - Full Adder, Code Converters, Multiplexers, Decoders,
Study of Sequential Logic Circuits - Flip-Flops, Counters, Shift Registers – Memory - Types -
Solid State Memory – A/D Converters.

UNIT IV MEASURING INSTRUMENTS 6

Regulated Power Supply - Rectifiers and Filters – Switching Power Supplies - Thermal
Considerations. Measurement of Voltage, Current, Frequency and Power Using Multi Meters,
Oscilloscopes, Recorders, Data Loggers, Signal Sources, Counters, Analyzers and Printers.

UNIT V POWER MANAGEMENT 6

Energy Estimation – Power Estimation and Optimization of Electrical and Electronics
Elements, Integrated System - Sensors, Data Acquisition System - Drives, Switching Devices,
Actuators and Controllers - Batteries - Types, Specification - Power Conversion Methods.
TOTAL 30 PERIODS
LIST OF EXPERIMENTS:

1. Study of Digital Storage oscilloscope.

2. Experimentation with CRO.
3. Design of DC power supplies
4. Design of Inverting Amplifier and Non-Inverting Amplifiers
5. Design of Instrumentation amplifier.
6. Design of analog filters.
7. Design of combinational circuits and sequential circuits.
8. Design of A/D converters and D/A converters.
9. RC Servo motor driver circuit.
10. Design of stepper motor driver circuit
30 PERIODS
COURSE OUTCOMES:
Upon completion of this course, the students will be able to:

CO1 State the fundamentals of electronic, circuits and measurement instruments.

CO2 Recognize the components, circuits and measurement instruments operation.
CO3 Design and develop the circuits using electronics components and measure using
instruments.
CO4 Analyse the circuit by measuring parameters using measurement instruments.
CO5 Create circuit to perform the signal conditioning, power management and logic
operations

REFERENCES:
1. Millman and Halkias, “Electronic Devices and Circuits”, McGraw Higher Ed., 2015.
2. Jacob Millman, “Microelectronics Digital and Analog Circuits and Systems”, McGraw-
Hill, 2014.
3. Helfrick A.D and Cooper .W. D. “Modern Electronic Instrumentation and
Measurements Techniques”, Prentice Hall, 2016.
4. Roy Choudhury, “Linear Integrated Circuits”, New Age, 2018
5. Malvino & Leach, “Digital Principles and Application”, Tata McGraw-Hill Education,
2002.

POs
COs
1 2 3 4 5 6
1 1 1 1 1 1 1
2 1 1 1 1 1 1
3 1 2 1 1 2 1
4 2 1 1 1 2 1
5 2 2 1 1 1 1
Avg 1.4 1.4 1 1 1.4 1
IC3102 MODERN ENGINE TECHNOLOGIES L T P C
3 0 0 3
COURSE OBJECTIVES
1. The objective of this course is to impart knowledge about modern fueling system,
actuation and boosting technologies, modern engine technologies, and after treatment
systems employed in modern engines

UNIT I MODERN FUELING SYSTEM TECHNOLOGY 9

Introduction – Background, Multi-point Fuel Injection (MPFI), Gasoline Direct Injection (GDI),
CNG Direct Injection, Hydrogen Direct Injection, Common Rail Direct Injection (CRDI), Dual
Fuel System – Working, Benefits of Dual Fuel Operation, Applications of Dual Fuel Engines,
Importance of Dual Fuel Engines Availability.

UNIT II ACTUATION TECHNOLOGIES 9

Variable Valve Timing (VVT) – Needs, VVT Terminologies, Methods of Implementing VVT.
Exhaust Gas Recirculation (EGR) System – Background, EGR – Hot and Cold EGR, Vacuum
Modulated EGR Valve Actuation, Electric EGR Actuation, Cooling System for EGR, Effects of
EGR on NOx and HC formation, Advantages of EGR. Intelligent Cylinder De-Activation
Technologies, Cam less Engines.

UNIT III BOOSTING TECHNOLOGIES 9

Turbocharger – Need, Parts, Working. Waste Gate Turbocharger, Variable Geometry
Turbocharger, Electric Turbochargers. Turbo Compounding Technologies.

UNIT IV MODERN ENGINES AND HYBRID TECHNOLOGIES 9

SA-HCCI Engines, RCCI Engines, GDCI Engines, CNG/LNG Powered Engines, Hydrogen
Powered Combustion Engines, Ammonia Powered Combustion Engines. VCR and Variable
Stroke Engines. Split-Cycle Engines.
Hybrids – Terminologies, Working of Hybrids. Types of Hybrids – Parallel Hybrid, Range
Extender Hybrid, Plug-in Hybrids. Conventional ICE+ Battery Powered Motor Hybrids,
Advanced Combustion Engines + Battery Powered Motor Hybrids, ICE+ Fuel Cell Hybrids

UNIT V MODERN AFTER TREATMENT TECHNOLOGIES 9

Three Way Catalytic Converter (TWC), Diesel Oxidation Catalysts (DoC), Diesel and Gasoline
Particulate Filters, Lean-NOx or De-NOx Catalyst, Selective Catalyst Reduction Technique,
Ammonia Slip Catalyst / Cleanup Catalyst, Ammonia Cracking System
TOTAL 45 PERIODS

COURSE OUTCOMES:
Upon completion of this course, the students will be able to:
CO1 Understanding on modern fueling system technologies
CO2 Understanding on modern actuation technologies
CO3 Understanding on modern boosting technologies
CO4 Understanding on moder engine and hybrid technologies
CO5 Understanding on modern after treatment technologies

REFERENCES

1. Richard Van Basshuysen, Fred Schaefer. Modern Engine Technologies from A to Z,

SAE, 2015.
2. Diesel Emission and Their Control – SAE 2006-12-01
3. Modern Technologies in Automobiles:
https://www.researchgate.net/publication/328354823
CO- PO MAPPING

PO
CO
1 2 3 4 5 6
1 3 2 - - 3 1
2 3 1 - - 3 -
3 3 1 - - 3 -
4 3 1 - - 3 -
5 3 2 - - 3 2
Avg 3 2 - - 3 1.5
EY3151 FLUID MECHANICS AND HEAT TRANSFER L T P C
3 1 0 4

OBJECTIVE:
The main objective of the course is to impart knowledge to students on the concepts of fluid
kinematics, boundary layer theory, incompressible and compressible fluid flow analysis.
The course is also useful to enhance the student knowledge on various modes of heat
transfer and the applications of heat transfer.

UNIT – I FLUID KINEMATICS AND BOUNDARY LAYER THEORY 12

Three dimensional forms of governing equations – Mass, Momentum, and their engineering
applications. Rotational and irrotational flows – vorticity – stream and potential functions.
Boundary Layer – displacement, momentum and energy thickness – laminar and turbulent
boundary layers in flat plates and circular pipes.

UNIT – II INCOMPRESSIBLE AND COMPRESSIBLE FLOWS 12

Laminar flow between parallel plates – flow through circular pipe – friction factor – smooth
and rough pipes – Moody diagram – losses during flow through pipes. Pipes in series and
parallel – transmission of power through pipes.
One dimensional compressible flow analysis – flow through variable area passage – nozzles
and diffusers.

UNIT – III CONDUCTION AND CONVECTION HEAT TRANSFER 12

Conduction: Governing Equation and Boundary conditions, Extended surface heat transfer,
Transient conduction – Use of Heisler-Grober charts, Conduction with moving boundaries,
Stefan and Neumann problem.
Energy equation - Analogy between heat and momentum transfer – Reynolds, Colburn,
Prandtl turbulent flow in a tube – High speed flows – Convection with phase change –
Condensation, Boiling.

UNIT – IV RADIATION HEAT TRANSFER 12

Surface radiation – View factor analysis, Gas Radiation - Radiative Transfer Equation
(RTE), Radiation properties of a participating medium, Use of Hottel’s Graph, Correction
factor analysis - Inverse problems in radiation transfer.

UNIT – V HEAT EXCHANGER AND HEAT PIPE 12

Heat exchanger: Classification, sizing, and rating problems – Bell Delaware method - Є-
NTU method – thermo-hydraulic performance of compact heat exchanger.
Heat Pipes: Classification, Thermal analysis - performance improvement techniques.

TOTAL: 60 PERIODS
OUTCOMES:
Upon completion of this course, the students will be able to:
CO 1 Identify, formulate, and analyze the governing equations for various engineering
applications.
CO 2 Learn the flow concepts of incompressible and compressible flow.
CO 3 Solve the conduction and convection heat transfer problems.
CO 4 Understand the importance of radiation heat transfer in gases and inverse solution
methods.
CO 5 Design a heat exchanger and heat pipe as per the industrial needs.
REFERENCES:
1. Yunus A Cengel and John M Cimbala, “Fluid Mechanics Fundamentals and
Applications,” McGraw-Hill, 2018.
2. Venkateshan S P., “Heat Transfer “, Ane Books Pvt. Ltd, 2016
3. Holman J P, “Heat Transfer”, McGraw-Hill, 2010.
4. Ozisik M N., “Heat Transfer – A Basic Approach”, McGraw Hill Co, 1985.
5. Adrian Bejan, Convection Heat Transfer, Wiley, Fourth Edition, 2013
6. Bahman Zohuri, “Heat Pipe Design and Technology”, Taylor and Francis Group, LLC,
2011.

CO – PO MAPPING
PO
CO 1 2 3 4 5 6
1 3 - - 3 1 1
2 3 - - 3 1 1
3 3 - 2 3 2 1
4 3 - 2 3 2 1
5 3 - 2 3 2 1
Avg. 3 - 2 3 1.6 1
MB3101 AUTOMOTIVE TECHNOLOGY L T P C
4 0 0 4
COURSE OBJECTIVES
1. To distinguish different types of chassis, frames and body and its component design.
2. To introduce the automobile subsystems
3. To introduce the concept of aerodynamics in automobiles
4. To introduce the concept of vehicle dynamics
5. To introduce different automobile safety technologies
UNIT I CHASSIS & LAYOUT 12
Basic construction of chassis, types of chassis layout, types of Body, types of frames, loads
acting on vehicle frame, power sources - internal combustion engine - fuel cell – battery.

UNIT II AUTOMOBILE POWERTRAIN 12

Clutch – principle – construction – type, transmission – principle – construction – type, torque
converters, drive shaft, axle, differential, wheels and tires.

UNIT III AUXILIARY SYSTEMS 12

Braking system - types, steering geometry - steering system - types, suspension system –
types, cooling and lubrication system, starting system, electrical system, HVAC.

UNIT IV ENGINE & VEHICLE TESTING 12

Engine testing - related standards – test cycles, dynamometers – transient dynamometer –
chassis dynamometers, test tracks, wind tunnel testing, safety & crash testing – NCAP – Injury
criteria, central motor vehicle rules – homologation, vehicle service and maintenance, on board
diagnostics.

UNIT V AUTOMOBILE SAFETY TECHNOLOGIES 12

Antilock braking system, electronic brake force distribution, stability control system, traction
control system, collision avoidance system, airbag, seatbelt - pretensioner, cruise control,
automatic high beam, adaptive headlights, daytime running lamp, active headrests, crumple
zone, lane assist, driver fatigue detection, tire pressure monitoring.
TOTAL: 60 PERIODS
COURSE OUTCOMES:
On successful completion of this course the student will be able to
CO1 Differentiate different types of automobiles based on body features.
CO2 Identify automotive power train components
CO3 Identify auxiliary systems
CO4 Carryout engine and vehicle testing
CO5 Demonstrate understanding of automobile safety technologies
REFERENCES:

1. Robert Bosch GmbH, “Automotive Handbook”, 11th Edition, 2022, Willey.

2. Joseph Heitner, “Automotive Mechanics,” 2nd Edition, 2006, CBS.
3. William H. Crouse, Donald L. Anglin, “Automotive Mechanics”, 10th Edition, 2017,
McGraw Hill Education.
4. Heinz Heisler, “Advanced Vehicle Technology,” 2nd Edition, 2002, Butterworth-
Heinemann.
5. Hans B Pacejka, “Tyre and Vehicle Dynamics”, 3rd edition, 2012, SAE International.
6. William B. Ribbens,“Understanding Automotive Electronics”,8thedition,2017,
Butterworth Heinemann.
7. Hucho, W.H., “Aerodynamics of Road vehicles”, 4th Edition, SAE,1998,

CO – PO MAPPING:

PO
CO
1 2 3 4 5 6
1 3 2 2 - 3 1
2 3 1 2 - 3 -
3 3 1 2 - 3 -
4 3 1 1 - 3 -
5 3 2 3 - 3 2
Avg 3 2 2 - 3 1.5
RM3151 RESEARCH METHODOLOGY AND IPR LTPC
2103
OBJECTIVES:
To impart knowledge on
 Formulation of research problems, design of experiment, collection of data,
interpretation and presentation of result
 Intellectual property rights, patenting and licensing

UNIT I RESEARCH PROBLEM FORMULATION 9

Objectives of research, types of research, research process, approaches to research;
conducting literature review- information sources, information retrieval, tools for identifying
literature, Indexing and abstracting services, Citation indexes, summarizing the review, critical
review, identifying research gap, conceptualizing and hypothesizing the research gap

UNIT II RESEARCH DESIGN AND DATA COLLECTION 9

Statistical design of experiments- types and principles; data types & classification; data
collection - methods and tools

UNIT III DATA ANALYSIS, INTERPRETATION AND REPORTING 9

Sampling, sampling error, measures of central tendency and variation,; test of hypothesis-
concepts; data presentation- types of tables and illustrations; guidelines for writing the
abstract, introduction, methodology, results and discussion, conclusion sections of a
manuscript; guidelines for writing thesis, research proposal; References – Styles and
methods, Citation and listing system of documents; plagiarism, ethical considerations in
research

UNIT IV INTELLECTUAL PROPERTY RIGHTS 9

Concept of IPR, types of IPR – Patent, Designs, Trademarks and Trade secrets, Geographical
indications, Copy rights, applicability of these IPR; , IPR & biodiversity; IPR development
process, role of WIPO and WTO in IPR establishments, common rules of IPR practices, types
and features of IPR agreement, functions of UNESCO in IPR maintenance.

UNIT V PATENTS 9
Patents – objectives and benefits of patent, concept, features of patent, inventive steps,
specifications, types of patent application; patenting process - patent filling, examination of
patent, grant of patent, revocation; equitable assignments; Licenses, licensing of patents;
patent agents, registration of patent agents.
TOTAL: 45 PERIODS
COURSE OUTCOMES
Upon completion of the course, the student can
CO1: Describe different types of research; identify, review and define the research problem
CO2: Select suitable design of experiment s; describe types of data and the tools for collection
of data
CO3: Explain the process of data analysis; interpret and present the result in suitable form
CO4: Explain about Intellectual property rights, types and procedures
CO5: Execute patent filing and licensing

REFERENCES:
1. Cooper Donald R, Schindler Pamela S and Sharma JK, “Business Research Methods”,
Tata McGraw Hill Education, 11e (2012).
2. Soumitro Banerjee, “Research methodology for natural sciences”, IISc Press, Kolkata,
2022,
3. Catherine J. Holland, “Intellectual property: Patents, Trademarks, Copyrights, Trade
Secrets”, Entrepreneur Press, 2007.
4. David Hunt, Long Nguyen, Matthew Rodgers, “Patent searching: tools & techniques”,
Wiley, 2007.
5. The Institute of Company Secretaries of India, Statutory body under an Act of parliament,
“Professional Programme Intellectual Property Rights, Law and practice”, September
2013.
MB3111 SIMULATION LABORATORY - I L T P C
0 0 2 1
COURSE OBJECTIVES
1. The objective of this course is to make the student familiarize with simulation
softwares for electric vehicle applications

LIST OF EXPERIMENTS

1. Modelling of a hybrid vehicle using appropriate software

2. Performance matching for a hybrid vehicle
3. Performance studies on two / three / four wheeled electric vehicle using appropriate
software
4. Simulation of Heating / Cooling requirement of battery and control system
5. Aerodynamic performance study of electric vehicle

NOTE: The above exercises are only guidelines to maintain the standard for teaching and
conduct of examination.

SIMULATION LAB – REQUIREMENT:

1. Software – For preprocessing, Solving and post-processing : Open-Foam / Any
commercially available CFD codes and mathematical equation solving softwares.
2. Every student in a batch must be provided with a hardware terminal
3. Hardware should compatible with the requirement of the above software

COURSE OUTCOMES:
On successful completion of this course the student will be able to
CO1 Model and validate any electric / hybrid vehicle using suitable software
CO2 Simulate the temperature distribution of an EV power pack / control system
CO3 Carryout simulation studies on electric vehicle aerodynamics

CO – PO MAPPING:

PO
CO
1 2 3 4 5 6
1 3 2 - - 3 2
2 3 1 - - 3 -
3 3 1 - - 3 -
4 3 1 - - 3 -
5 3 2 - - 3 2
Avg 3 2 - - 3 2
MB3201 ELECTRIC VEHICLE TECHNOLOGY L T P C
4 0 0 4
COURSE OBJECTIVES
1. The objective of this course is to introduce the basic concepts of electric vehicle and
their characteristics and their architecture, various energy storage systems, different
types of motors and their characteristics and to design an electric vehicle
UNIT I NEED FOR ELECTRIC VEHICLES 12
History and need for electric and hybrid vehicles, social and environmental importance of
hybrid and electric vehicles, impact of modern drive-trains on energy supplies, comparison of
diesel, petrol, electric and hybrid vehicles, limitations, technical challenges

UNIT II ELECTRIC VEHICLE ARCHITECTURE 12

Electric vehicle types, layout and power delivery, performance – traction motor characteristics,
tractive effort, transmission requirements, vehicle performance, energy consumption,
Concepts of hybrid electric drive train, architecture of series and parallel hybrid electric drive
train, merits and demerits, mild and full hybrids, plug-in hybrid electric vehicles and range
extended hybrid electric vehicles, Fuel cell vehicles.

UNIT III ENERGY STORAGE 12

Batteries – types – lead acid batteries, nickel-based batteries, and lithium based batteries,
electrochemical reactions, thermodynamic voltage, specific energy, specific power, energy
efficiency, Battery modeling and equivalent circuit, battery charging and types, battery cooling,
Ultra-capacitors, Flywheel technology, Hydrogen fuel cell, Thermal Management of the PEM
fuel cell

UNIT IV ELECTRIC DRIVES AND CONTROL 12

Types of electric motors – working principle of AC and DC motors, advantages and limitations,
DC motor drives and control, Induction motor drives and control, PMSM and brushless DC
motor -drives and control , AC and Switch reluctance motor drives and control – Drive system
efficiency – Inverters – DC and AC motor speed controllers

UNIT V DESIGN OF HYBRID ELECTRIC VEHICLES 12

Materials and types of production, Chassis skate board design, motor sizing, power pack
sizing, component matching, Ideal gear box – Gear ratio, torque–speed characteristics,
Dynamic equation of vehicle motion, Maximum tractive effort – Power train tractive effort
Acceleration performance, rated vehicle velocity – maximum gradability, Brake performance,
Electronic control system, safety and challenges in electric vehicles. Case study of NISSAN
LEAF, TOYOTA PRIUS, TESLA model 3, and RENAULT ZOE cars
TOTAL: 60 PERIODS
COURSE OUTCOMES:
On successful completion of this course the student will be able to
CO1 Understand the advantages and challenges of electric vehicles
CO2 Understand and select appropriate electric vehicle architecture
CO3 Adopt a suitable energy storage system for a vehicle
CO4 Choose an appropriate electric motor and drive system for a vehicle
CO5 Design a suitable electric vehicle for various applications
REFERENCES:

1. John G Hayes and G Abaas Goodarzi, Electric Powertrain -, 1st Edition, John Wiley
& Sons Ltd., 2018.
2. Iqbal Husain, “Electric and Hybrid Vehicles – Design Fundamentals”, Second
Edition, CRC Press,2019
3. Alfred Rufer, “Energy Storage systems and components”, CRC Press,2017
4. Hong Cheng, ―Autonomous Intelligent Vehicles: Theory, Algorithms &
Implementation‖, Springer, 2011
5. Berker B., James W. J. & A. Emadi, “Switched Reluctance Motor Drives”, CRC
Press 2017
6. Ehsani, Mehrdad, et al. Modern electric, hybrid electric, and fuel cell vehicles. CRC
press, 2017.

CO – PO MAPPING:
PO
CO
1 2 3 4 5 6
1 3 2 - - 3 1
2 3 1 - - 3 -
3 3 1 - - 3 -
4 3 1 - - 3 -
5 3 2 - - 3 2
Avg 3 2 - - 3 1.5
MR3152 SENSORS AND DATA ACQUISITION SYSTEM L T P C
3 0 4 5

COURSE OBJECTIVES:
1. To learn the various types of sensors, transducers, sensor output signal types,
calibration techniques, formulation of system equation and its characteristics.
2. To understand basic working principle, construction, Application and characteristics of
displacement, speed and ranging sensors.
3. To understand and analyze the working principle, construction, application and
characteristics of force, magnetic and heading sensors.
4. To learn and analyze the working principle, construction, application and
characteristics of optical, pressure, temperature and other sensors.
5. To familiarize students with different signal conditioning circuits design and data
acquisition system.

UNIT I SENSOR CLASSIFICATION, CHARACTERISTICS AND SIGNAL TYPES 9

Basics of Measurement – Classification of Errors – Error Analysis – Static and Dynamic
Characteristics of Transducers – Performance Measures of Sensors – Classification of
Sensors – Sensor Calibration Techniques – Sensor Outputs - Signal Types - Analog and
Digital Signals, PWM and PPM.

UNIT II DISPLACEMENT, PROXIMITY AND RANGING SENSORS 9

FORCE, MAGNETIC AND HEADING SENSORS
Displacement Sensors – Brush Encoders - Potentiometers, Resolver, Encoders – Optical,
Magnetic, Inductive, Capacitive, LVDT – RVDT – Synchro – Microsyn, Accelerometer –
Range Sensors - Ultrasonic Ranging - Reflective Beacons - Laser Range Sensor (LIDAR)
– GPS - RF Beacons

UNIT III FORCE, MAGNETIC AND HEADING SENSORS 9

Strain Gage – Types, Working, Advantage, Limitation, and Applications: Load
Measurement – Force and Torque Measurement - Magnetic Sensors – Types, Principle,
Advantage, Limitation, and Applications - Magneto Resistive – Hall Effect, Eddy Current
Sensor - Heading Sensors – Compass, Gyroscope and Inclinometers

UNIT IV OPTICAL, PRESSURE, TEMPERATURE AND OTHER SENSORS 9

Photo Conductive Cell, Photo Voltaic, Photo Resistive, LDR – Fiber Optic Sensors –
Pressure – Diaphragm – Bellows - Piezoelectric - Piezo-resistive - Acoustic, Temperature
– IC, Thermistor, RTD, Thermocouple – Non-Contact Sensor - Chemical Sensors - MEMS
Sensors - Smart Sensors.

UNIT V DATA ACQUISITION SYSTEM 9

Need for Signal Conditioning – Resistive, Inductive and Capacitive Bridges for
Measurement - DC and AC Signal Conditioning – Analog and Digital Data Acquisition
Systems-ADC-DAC-Data Sampling-Parameters Measured using DAQ- DAQ Cards and
Modules- DAQ Software.
45 PERIODS
LIST OF EXPERIMENTS:
1. Experiments Using Strain Gauge Sensor: Load Measurement, Torque
2. Determine the characteristics of Pressure Sensor.
3. Displacement Measurement using Inductive type-LVDT and Magnetic type - Hall Effect
Sensor.
4. Determine the Characteristics of Various Temperature Sensors.
5. Determine the Characteristics of Various Light Detectors (Optical Sensors).
6. Distance Measurement using Ultrasonic and Laser Sensor.
7. Determine angular velocity using gyroscope.
8. Experiment on accelerometer to determine amplitude and frequency of Vibration.
9. Speed and Position Measurement Using Encoders.
10. Experiment on acquisition of analog signal using DAQ.
11. Experiment on acquisition of digital signal using DAQ.
12. Design and realize circuit to convert change in resistance, inductance and capacitance
to voltage.
60 PERIODS
TOTAL 105 PERIODS
COURSE OUTCOMES:
Upon completion of this course, the students will be able to:
CO1 State the principles of various sensor, sensor characteristics, signal types,
calibration methods.
CO2 Determine the transfer function and empirical relation of sensors through sensor
response study
CO3 Describe the operation of sensors, circuits and data acquisition system
CO4 Analyze and select the suitable sensor for the given applications.
CO5 Select and design suitable signal conditioning circuit for data acquisition.
REFERENCES
1. Ernest O. Doeblin, “Measurement system, Application and Design”, Tata McGraw
Hill Publishing Company Ltd., 2004.
2. Jacob Fraden, “Handbook of Modern Sensors, Physics, Design and Applications”,
Springer, 2016.
3. John P. Bentley., “Principle of Measurement systems”, Pearson Prentice Hall, 2008.
4. Patranabis D., “Sensor and Actuators”, Prentice Hall of India (Pvt) Ltd., 2005.
5. Renganathan S., “Transducer Engineering”, Allied Publishers (P) Ltd., 2003

POs
COs
1 2 3 4 5 6
1 1 1 - 1 - 1
2 1 1 1 2 1 1
3 1 1 1 1 1 1
4 2 2 2 1 2 1
5 2 1 2 2 1 1
Avg 1.4 1.2 1.2 1.4 1 1
EY3061 ENERGY STORAGE TECHNOLOGIES L T P C
3 0 0 3

OBJECTIVE:
To understand the significance and need for various types of energy storage technologies
and their uses for real world applications. This course will also enable students to
understand the Green Energy Storage of Hydrogen and the challenges associated

UNIT – I INTRODUCTION TO ENERGY STORAGE 9

Necessity of Energy Storage – Types of Energy Storage – Thermal, Mechanical, Chemical,
Electrochemical and Electrical - Comparison of Energy Storage Technologies.

UNIT – II THERMAL ENERGY STORAGE SYSTEM 9

Thermal Energy Storage – Types – Sensible, Latent and Thermo-chemical – Sensible Heat
Storage - Simple water and rock bed storage system – pressurized water storage system –
Stratified System - Latent Heat Storage System - Phase Change Materials – Simple units,
packed bed storage units - Other Modern Approaches.

UNIT – III ELECTRICAL ENERGY STORAGE 9

Batteries - Fundamentals and their Working – Battery performance, Charging and
Discharging - Storage Density - Energy Density - Battery Capacity - Specific Energy -
Memory Effect - Cycle Life - SOC, DOD, SOL - Internal Resistance - Coulombic Efficiency
and Safety issues. Battery Types - Primary and Secondary – Lead Acid, Nickel – Cadmium,
Zinc Manganese dioxide, Zinc-Air, Nickel hydride, Lithium Ion.

UNIT – IV HYDROGEN ENERGY STORAGE 9

Hydrogen Storage Options – Physical and Chemical Methods - Compressed Hydrogen –
Liquefied Hydrogen – Metal Hydrides, Chemical Storage - Other Novel Methods -
comparison - Safety and Management of Hydrogen - Applications - Fuel Cells.

UNIT – V ALTERNATE ENERGY STORAGE TECHNOLOGIES 9

Flywheel, Super Capacitors - Pumped Hydro Energy Storage System - Compressed Air
Energy Storage System, SMES - Concept of Hybrid Storage – Principles, Methods, and
Applications - Electric and Hybrid Electric Vehicles.

TOTAL: 45 PERIODS
OUTCOMES:
Upon completion of this course, the students will be able to:
CO1 Identify the energy storage technologies for suitable applications.
CO2 Apply the appropriate thermal energy storage methods suitably.
CO3 Introduce the concepts, types and working of various batteries.
CO4 Understand the use of Hydrogen as Green Energy for our Future.
CO5 Recognize and choose appropriate methods of Energy Storage and Hybrid
Systems.

REFERENCES:
1. Ibrahim Dincer and Mark A. Rosen, “Thermal Energy Storage Systems and
Applications”, John Wiley & Sons 2002.
2. James Larminie and Andrew Dicks, “Fuel cell systems Explained”, Wiley publications,
2003.
3. Luisa F. Cabeza, “Advances in Thermal Energy Storage Systems: Methods and
Applications”, Elsevier Woodhead Publishing, 2015.
4. Robert Huggins, “Energy Storage: Fundamentals, Materials and Applications”, 2nd
edition, Springer, 2015.
5. Ru-shiliu, Leizhang, Xueliang sun, “Electrochemical technologies for energy storage
and conversion”, Wiley publications, 2012.

CO – PO MAPPING:
PO
CO
1 2 3 4 5 6
1 2 3 - - 3 2
2 2 3 - - 3 2
3 2 3 - - 3 3
4 2 3 - - 3 3
5 2 3 - - 3 3
Avg 2 2 - - 3 2.6
MB3211 SIMULATION LABORATORY - II L T P C
0 0 4 2
COURSE OBJECTIVES
1. The objective of this course is to make the student familiarize with simulation
softwares for electric vehicle applications
LIST OF EXPERIMENTS

1. Modelling of a hybrid vehicle using appropriate software

2. Performance matching for a hybrid vehicle
3. Simulation of Heating / Cooling requirement of battery and control system
4. Aerodynamic performance study of electric vehicle
2. Engine intake flow analysis using different port shapes
3. Engine exhaust flow analysis
4. Engine in-cylinder cold flow analysis for the given engine sector model
5. Fuel spray studies
6. Combustion analysis – arriving at p- theta and heat release rate
NOTE: The above exercises are only guidelines to maintain the standard for teaching and
conduct of examination

SIMULATION LAB – REQUIREMENT:

1. Software – For preprocessing – Any 3D Modelling software compatible for the geometry,
along with meshing software(s) capable of meshing different type of geometry
2. Solving and post-processing Open-FOAM / Any commercially available CFD codes and
mathematical equation solving softwares.
Every student in a batch must be provided with a hardware terminal with atleast 16 GB RAM ,
SSD HDD 512 GB capacity, and with dedicated Graphics card of atleast 4 GB

COURSE OUTCOMES:
On successful completion of this course the student will be able to
CO1 Model and validate any electric / hybrid vehicle using suitable software
CO2 Simulate the temperature distribution of an EV power pack / control system
CO3 Carryout simulation studies on electric vehicle aerodynamics

CO – PO MAPPING:

PO
CO
1 2 3 4 5 6
1 3 2 - - 3 2
2 3 1 - - 3 -
3 3 1 - - 3 -
4 3 1 - - 3 -
5 3 2 - - 3 2
Avg 3 2 - - 3 2
MB3212 ELECTRIC VEHICLE LABORATORY L T P C
0 0 4 2
COURSE OBJECTIVES
1. The objective of this course is make the student learn the testing procedure of
electric vehicles with different types of charging system, and use appropriate charger
to ensure longer battery life

LIST OF EXPERIMENTS:

1. Study of Grid to Vehicle (G2V) charging and Vehicle to Grid (V2G) charging.
2. Study of various EV testing equipments – EVSE, Emulator etc.,
3. Performance Analysis of slow and fast EV chargers.
4. Performance Testing of an Electric Vehicle.
5. Performance Analysis of various Battery Technologies.
6. Implementation of Smart Battery Management System (SBMS).
7. Characterization of Power and Efficiency for e-bicycle
TOTAL: 60 PERIODS

COURSE OUTCOMES:
On successful completion of this course the student will be able to
CO1 Solve dynamic equations involved in power electronics.
CO2 Acquire and apply knowledge of mathematics and converter/machine dynamics in
Electrical engineering
CO3 Model and analyze different rectifier circuits using computational software and to
understand their various operating modes.
CO4 Analyze various power quality issues due to increasing EV charging infrastructure
CO5 Formulate, design, simulate power supplies for generic load and for machine loads

CO – PO MAPPING:

PO
CO
1 2 3 4 5 6
1 3 2 - - 3 2
2 3 1 - - 3 -
3 3 1 - - 3 -
4 3 1 - - 3 -
5 3 2 - - 3 2
Avg 3 2 - - 3 2
MB3213 SUMMER INTERNSHIP L T P C
0 0 0 2
COURSE OBJECTIVES
1. To provide industrial exposure, understand work pattern and feel a hands-on
experience of working in an industry.

The Summer Internship has to be carried out in core industries during the 2nd
semester vacation.
- Minimum period of training = 4 weeks.
- Evaluation to be carried out on the first week of 3rd semester

COURSE OUTCOMES:
On successful completion of this course the student will be able to
CO1 Experience working culture in industry.
CO2 Understand nuances of power unit testing, validation and instrumentation
CO3 Carry out dissertation work and solve drive / power pack specific problems using the
exposure gained in the internship.

CO – PO MAPPING:
PO
CO
1 2 3 4 5 6
1 3 3 3 3 2 3
2 3 3 3 3 2 3
3 3 3 3 3 2 3
Avg 3 3 3 3 2 3
IC3361 RESEARCH DATA ANALYSIS LABORATORY L T P C
0 0 2 1

COURSE OBJECTIVES
1. The objective of the course is to acquire knowledge on the various aspects of data
presentation, data collection, documentation and interpretation of research data
LIST OF EXPERIMENTS

1. Interpretation and analysis of diesel engine performance data using any analytical tool
2. Plot and analysis of given engine combustion data using graphical tool
3. Uncertainty analysis of given engine emission data using graphical tool
4. Visualize the velocity, temperature, HRR using the 3D post processing file
using Tec plot software
5. Optimization of biodiesel production parameters using RSM technique for given data
6. Optimization of bioethanol production parameters using RSM technique for given data
7. Prediction of pyrolysis oil yield with experimental data by using ANN technique
8. Prediction of biofuel yield with experimental data by using Genetic Algorithm
9. Optimization and prediction of engine performance, and emission characteristics using
ANN and RSM technique
TOTAL: 30 PERIODS
COURSE OUTCOMES:
On successful completion of this course the student will be able to
CO1 Use different plotting tools such as MS Excel and Origin for data visualization and
analysis
CO2 Familiar in uncertainty analysis of experimental data in Matlab/Minitab
CO3 Post process the experimental data for 3D visualization using Tecplot software
CO4 Develop non-parametric model for prediction of unknown data using experimental data
with techniques such as RSM, ANN and GA
CO5 Optimize the experimental parameters using different techniques such as RSM and
GA

CO – PO MAPPING:

PO
CO
1 2 3 4 5 6
1 3 2 2 - 3 1
2 3 1 2 - 3 -
3 3 1 2 - 3 -
4 3 1 1 - 3 -
5 3 2 3 - 3 2
Avg 3 2 2 - 3 1.5
MB3311 TECHNICAL SEMINAR L T P C
0 0 2 1

COURSE OBJECTIVES
1. This course will prepare you to produce instructive, informational, and persuasive
documents based on well-defined and achievable outcomes
2. This course will teach processes for analyzing writing contexts and producing
effective, clean, and reader-centered documents in an efficient manner
UNIT I FUNDAMENTALS OF TECHNICAL WRITING 6
Technical Writing Fundamentals - What is technical writing? - Sentence level editing - What is
a memo? Writing a Technical Description - What is a technical description? - What purpose do
they serve? - Who are they serving
UNIT II REVIEW ARTICLE WRITING 6
Selection of topics, Abstract writing for review articles, literature collection and critical review
of articles, Writing conclusion and future research directions, Case studies on published review
articles

UNIT III RESEARCH ARTICLE WRITING 6

Selection of problem, Experimental design of the article, Checking the scientific originality and
novelty of the designed experiment, Abstract writing for research articles, literature collection
and critical review of previously published research articles, Presentation of results, Writing
conclusion and future research directions, Case studies on published research articles.

UNIT IV FUNDAMENTALS OF POWER POINT PRESENTATION 6

Selection of template, Background, Planning of number of slides, Planning of content structure,
Selection of font, font size, and color, Readability of the presentation, Animation, clarity on
pictures, and videos

UNIT V REVIEW AND RESEARCH ARTICLE FORMATS 6

Journal selection, Guide to authors, publication ethics
TOTAL: 30 PERIODS
COURSE OUTCOMES:
On successful completion of this course the student will be able to
CO1 Demonstrate theoretical knowledge to create effective technical writing documents
CO2 Apply and adapt flexible writing process strategies to produce clear, high-quality
deliverables in a multitude of technical writing genres.
CO3 Use professional technical writing conventions of clean and clear design, style, and
layout of written materials.
CO4 Gather and apply researched information that is appropriate to your field, as
demonstrated by reading and analyzing documents, and citing sources correctly.
CO5 Write clearly, correctly, and concisely.
CO – PO MAPPING:

POs PSOs
COs
1 2 3 1 2 3
1 1 3 1 1 2 2

2 1 3 1 1 2 2

3 1 3 1 1 2 2

Avg 1 3 1 1 2 2
MB3312 PROJECT WORK – I L T P C
0 0 12 6
COURSE OBJECTIVES
1. The main learning objective of this course is to prepare the students for identifying a
specific problem for the current need of the society and or industry, through detailed
review of relevant literature, developing an efficient methodology to solve the identified
specific problem.

Note: A project topic must be selected by the students in consultation with their guides.
The progress of the project is evaluated based on a minimum of three reviews. The
review committee may be constituted by the Head of the Department. A project report
is required at the end of the semester. The project work is evaluated jointly by external
and internal examiners constituted by the Head of the Department based on oral
presentation and the project report.

COURSE OUTCOMES:
On successful completion of this course the student will be able to
CO1 Identify a suitable industrial problem with regard to Mobility engineering.
CO2 Develop the required setup for testing

CO – PO MAPPING:

PO
CO
1 2 3 4 5 6
1 3 3 3 3 3 3
2 3 3 3 3 3 3
Avg 3 3 3 3 3 3
MB3411 PROJECT WORK – II L T P C
0 0 24 12
COURSE OBJECTIVES
1. The main learning objective of this course is to prepare the students for solving the
specific problem for the current need of the society and or industry, through the
formulated efficient methodology, and to develop necessary skills to critically analyse
and discuss in detail regarding the project results and making relevant conclusions.

Note: A project topic must be selected by the students in consultation with their guides.
The progress of the project is evaluated based on a minimum of three reviews. The
review committee may be constituted by the Head of the Department. A project report
is required at the end of the semester. The project work is evaluated jointly by external
and internal examiners constituted by the Head of the Department based on oral
presentation and the project report.

COURSE OUTCOMES:
On successful completion of this course the student will be able to
CO1 Conduct the experiments, interpret and analyse the data
CO2 Validate, present and publish the findings

CO – PO MAPPING:

PO
CO
1 2 3 4 5 6
1 3 3 3 3 3 3
2 3 3 3 3 3 3
Avg 3 3 3 3 3 3
EY3052 FUEL CELL TECHNOLOGY L T P C
3 0 0 3
OBJECTIVE:
The major objective of this course is to enhance the knowledge of the students about
classifications, construction, working, analysis and applications of fuel cells. This course will
also enable students to understand various production and storage techniques of
Hydrogen.

UNIT – I OVERVIEW 9
Basics of Fuel Cell Technology - History of Fuel Cells - Fundamentals - Components -
Working Principle - Advantages and Limitations - Comparison of Fuel Cell and Battery.

UNIT – II CLASSIFICATION 9
Classification of Fuel Cells - Based on Temperature and Electrolyte - Description and
working principles of various types of fuel cells - Components used - Fabrication -
Applications - Merits and Demerits of PEMFC, DMFC, PAFC, AMFC, SOFC, MCFC and
MFC - Recent Developments and Achievements.

UNIT – III THERMODYNAMIC AND KINETIC ASPECTS OF FUEL CELL 9

Theory - Thermodynamics - Electrochemistry - Energy Conversion Efficiency - Factors that
influence Fuel Cell Efficiency - Reaction Kinetics - Electrode Kinetics - Characterization
methods - Polarization and Power Density Curves - Fuel Cell Losses - Methods to improve
Fuel Cell Performance.

UNIT – IV HYDROGEN PRODUCTION, STORAGE AND SAFETY 9

Hydrogen Salient Characteristics - Physical and Chemical Properties - Hydrogen Economy
- Hydrogen Production Methods - Steam Reforming, Electrolysis, Coal Gasification,
Biomass Conversion - Biological Methods - Photo dissociation and Photo catalytic Methods
- Thermal Methods - Hydrogen Storage - Physical and Chemical Methods - Hydrogen
Safety and Risk - Challenges and Management – Codes and Standards.

UNIT – V APPLICATIONS AND CHALLENGES OF FUEL CELL 9

Fuel Cell Applications - Domestic - Industrial - Commercial - Transportation and Stationary
Applications - Economics and Environment Analysis - Cost and Safety - Life Cycle Analysis
- Future Trends.

TOTAL: 45 PERIODS
OUTCOMES:
Upon completion of this course, the students will be able to:
CO1 Get introduced to the concepts of fuel cell technology.
CO2 Recognize the need for development of various types of fuel cells and their scopes.
CO3 Understand and apply the principles of thermodynamics and reaction kinetics of fuel
cell to increase the fuel cell efficiency.
CO4 Gain knowledge on the use of hydrogen as a source of green energy and understand
the challenges associated.
CO5 Analyse the cost effectiveness and eco-friendliness of fuel cell technology and
understand the impact on the application aspects.
REFERENCES:
1. Aulice Scibioh M. and Viswanathan B, “Fuel Cells – principles and applications’,
University Press (India), 2006.
2. Ryan O. H., Suk Won C. and Whiteny C., “Fuel Cell Fundamentals”, John Wiley &
Sons, 2016.
3. O’Hayre, R., Cha S. W., Colella W. and Prinz, B., “Fuel Cell Fundamentals”, John
Wiley and Sons, 2005.
4. Robert Huggins, Energy Storage: Fundamentals, Materials and Applications, 2nd
edition, Springer, 2015
5. Ru-shiliu, Leizhang, Xueliang sun, Electrochemical technologies for energy storage
and conversion, Wiley publications, 2012.
6. Barbir F “PEM fuel cells: theory and practice” Elsevier, Burlington, MA 2005.
7. Christopher M A Brett, “Electrochemistry – Principles, Methods and Applications”,
Oxford University, 2004.
8. Basu, S., “Fuel Cell Science and Technology”, Springer, 2007.

CO – PO MAPPING:
PO
CO
1 2 3 4 5 6
1 2 3 - - 3 1
2 2 3 - - 3 1
3 2 3 - - 3 1
4 2 3 - - 3 1
5 2 3 - - 3 1
Avg 2 3 - - 3 1
RA3053 THERMAL MANAGEMENT OF ELECTRONICS AND L T P C
BATTERIES
3 0 0 3
COURSE OBJECTIVES:
 To impart the knowledge on thermal management of electronic devices and batteries.
 To provide students with an appreciation for the application of heat transfer to problems in
industries related to thermal management of electronics and batteries.
UNIT – I FUNDAMENTALS 9
Heat transfer modes, electronics packaging, Properties of materials used in electronics and
equipment, contact and spreading resistances, heat sink design, Thermal Interface Materials & Heat
Spreaders, Jedec Standards.

UNIT – II COOLING TECHNOLOGIES 9

Microchannels, Fluid selection, Jet impingement, Immersion cooling, Heat pipes, Vapour chambers,
Thermoelectric coolers, MEMS / NEMS based cooling system. Current trends in cooling.

UNIT – III APPLICATIONS 9

Automobiles, Trains, Ships, Avionics, Data Centres, Laptop / Computers / Mobile phone, Internet of
Things, Television, RADAR, Satellite Electronics, LED – Lights and Display units, LASER.

UNIT – IV BATTERIES 9
Types and comparison, Thermodynamics of Batteries – Energy Balance, Electrochemical Modelling
– Surface, concentration, ohmic over potential and overall cell potential, Duty cycle, Performance of
a battery cell, Thermal Behaviour of Batteries - Aging, Thermal runaway, heat generation rate,
thermal behaviour model and impact.

UNIT – V BATTERY THERMAL MANAGEMENT SYSTEM 9

Mechanical and Thermal design of battery pack, Thermal management system – Air based, Liquid
based and Phase Change Material based systems, Recent developments.
TOTAL: 45 PERIODS
COURSE OUTCOMES:
Upon completion of this course, the students will be able to:
1. Understand the heat transfer mechanisms, need for thermal management and sources of heat
generation in electronics.
2. Compare and analyse the performance of various cooling technologies.
3. Select the appropriate cooling system for specific applications.
4. Categorise the major components of batteries and elucidate the battery characteristics.
5. Identify the challenges and requirements for thermal management of batteries.

REFERENCES:
1. Younes Shabany, Heat Transfer: Thermal Management of Electronics, CRC Press Inc, 2010.
2. L.T. Yeh, Thermal Management of Microelectronic Equipment, ASME, 2016.
3. Arman Vassighi, Manoj Sachdev, Thermal and power management of integrated circuits,
Springer, 2006.
4. Marc A Rosen, Aida Farsi, Battery Technology: From Fundamentals to Thermal Behaviour and
Management, Elsevier, 2023.
5. Shriram Santhanagopalan, Kandler Smith, Gi-Heon Kim, Jeremy Neubauer, Ahmad A. Pesaran,
Matthew Keyers, Design and Analysis of Large Lithium-Ion Battery Systems, Artech House
Publishers, 2014.
6. Jerry E. Sergent, Al Krum, Thermal Management Handbook: For Electronic Assemblies,
McGraw-Hill, 1998.
7. Shichun Yang, Xinhua Liu, Shen Li, Cheng Zhang, Advanced Battery Management System for
Electric Vehicles, Springer, 2022.
 Mapping of CO with PO
PO
CO
1 2 3 4 5 6
1 1 - 1 2 - 1
2 2 - 1 2 - 1
3 1 - 1 2 - 1
4 - - 1 1 - 2
5 1 - 1 1 - 2
Avg. 1.25 - 1 1.6 - 1.4
ET3251 AUTOMOTIVE EMBEDDED SYSTEMS LT P C

3003

UNIT I ELECTRONIC ENGINE CONTROL SYSTEMS 9

Overview of Automotive systems, fuel economy, air-fuel ratio, emission limits and vehicle
performance; Automotive microcontrollers - Electronic control Unit - Hardware & software
selection and requirements for Automotive applications – open source ECU - RTOS -
Concept for Engine management-Standards; Introduction to AUTOSAR and Introduction to
Society SAE - Functional safety ISO 26262 - Simulation and modeling of automotive system
components.

UNIT II SENSORS AND ACTUATORS FOR AUTOMOTIVES 9

Review of sensors- sensors interface to the ECU, conventional sensors and actuators,
Modern sensor and actuators - LIDAR sensor- smart sensors- MEMS/NEMS sensors and
actuators for automotive applications.

UNIT III VEHICLE MANAGEMENT SYSTEMS 9

Electronic Engine Control - engine mapping, air/fuel ratio spark timing control strategy, fuel
control, electronic ignition - Adaptive cruise control - speed control - anti-locking braking
system - electronic suspension - electronic steering, Automatic wiper control - body control
system; Vehicle system schematic for interfacing with EMS, ECU. Energy Management
system for electric vehicles - Battery management system, power management system-
electrically assisted power steering system - Adaptive lighting system - Safety and Collision
Avoidance.

UNIT IV ONBOARD DIAGONSTICS AND TELEMATICS 9

On board diagnosis of vehicles - System diagnostic standards and regulation requirements
Vehicle communication protocols Bluetooth, CAN, LIN, FLEXRAY, MOST, KWP2000 and
recent trends in vehicle communications - Navigation - Connected Cars technology -
Tracking - Security for data communication - dashboard display and Virtual
Instrumentation, multimedia electronics - Role of IOT in Automotive systems

UNIT V ELECTRIC VEHICLES 9

Electric vehicles – Components - Plug in Electrical vehicle - V2G - Charging station –
Aggregators - Fuel cells/Solar powered vehicles - Autonomous vehicles.

TOTAL: 45 PERIODS
COURSE OUTCOMES:
At the end of this course, the students will have the ability in
CO1: Insight into the significance of the role of embedded system for automotive
applications.
CO2: Illustrate the need, selection of sensors and actuators and interfacing with ECU
CO3: Develop the Embedded concepts for vehicle management and control systems.
CO4: Demonstrate the need of Electrical vehicle and able to apply the embedded system
technology for various aspects of EVs
CO5: Improved Employability and entrepreneurship capacity due to knowledge up
gradation on recent trends in embedded systems design and its application in
automotive systems.
REFERENCES:
1. William B. Ribbens, “Understanding Automotive Electronics”, Elseiver,2012
2. Ali Emedi, Mehrdedehsani, John M Miller, “Vehicular Electric power system- land,
Sea, Air and Space Vehicles” Marcel Decker, 2004.
3. L.Vlacic, M.Parent, F.Harahima,” Intelligent Vehicle Technologies”, SAE
International,2001.
4. Jack Erjavec,JeffArias, “Alternate Fuel Technology-Electric, Hybrid& Fuel Cell
Vehicles”, Cengage , 2012.
5. Electronic Engine Control technology - Ronald K Jurgen Chilton’s guide to Fuel
Injection - Ford.
6. Automotive Electricals/Electronics System and Components, Tom Denton,
rd.
3 Edition, 2004.
7. Uwe Kiencke, Lars Nielsen, “Automotive Control Systems: For Engine, Driveline,
and Vehicle”, Springer; 1 edition, March 30, 2000.
8. Automotive Electricals Electronics System and Components, Robert Bosch Gmbh,
th
4 Edition, 2004.
9. Automotive Hand Book, Robert Bosch, Bently Publishers, 1997.
10. Jurgen, R., Automotive Electronics Hand Book.

MAPPING OF COs WITH POs

CO PO1 PO2 PO3 PO4 PO5 PO6
CO1 - 2 1 1 - 2
CO2 2 3 2 2 2 3
CO3 3 3 3 3 3 2
CO4 3 3 3 3 3 2
CO5 3 3 3 3 3 2
Average 2.75 2.8 2.4 2.4 2.75 2.2
IC3054 AUTONOMOUS AND CONNECTED VEHICLE L T P C
SYSTEMS
3 0 0 3
COURSE OBJECTIVE
1. The objective of the course is to impart knowledge on the various machine learning
aspects of IC engines
UNIT I INTRODUCTION TO AUTOMOUS VEHICLE TECHNOLOGY 9
Introduction- SAE autonomous level classification-Examples-Application of Autonomous
vehicle, Advantages and disadvantages of autonomous vehicles

UNIT II PATH PLANNING AND DECISION MAKING 9

Principles of decision making and path planning for autonomous vehicles-Decision making
approaches-Approximation-Heuristic-Graph based-Point guidance. Verification and validation
of decision making and path planning-Application examples of task allocation and path
planning algorithm
UNIT III SENSORS, PERCEPTION AND VISUALIZATION 9
Introduction to sensors, perception and visualization for autonomous vehicles-Sensor
integration architectures and multiple sensor fusion- AI algorithm for sensor and imaging-
neural networks.
UNIT IV NETWORKING AND CONNECTING VEHICLES 9
Current and future vehicle networking technologies-CAN, LIN,MOST and Flex-ray. The use of
modern validation and verification methods-software-in the-loop, and hardware-in-the-loop
technologies. The role of functional safety and ISO 26262 within the overall control system.
Interdependency between software engineering and control system-advanced test methods
for validation of safety-critical systems. Connected vehicle control (CACC). Vehicle to vehicle
(v2v), vehicle to infrastructure and vehicle to cloud (v2c). Applications such as intelligent traffic
signals, collaborative adaptive cruise and vehicle platooning.

UNIT V HUMAN FACTORS AND ETHICAL DECISION MAKING 9

Introduction to human factors-Human performance: perception and attention-situation
awareness and error-human reliability: driver workloads and fatigue-emotion and motivation in
design-Trust in autonomous vehicles and assistive technology-designing ADAS systems-
Driverless vehicles and ethical dilemmas: Human factors and decision making software-
Application of human factors in autonomous vehicles. International and national regulatory
frameworks for CAV and their safe operation
TOTAL: 45 PERIODS
COURSE OUTCOMES:
On successful completion of this course the student will be able to
CO1 Gain fundamental knowledge on electric motors Estimate vehicle state based on
available data.
CO2 facilitate various computer vision features and techniques
CO3 Develop motion plan for the vehicle based on the environment, behavior and
interaction of objects
CO4 Describe the applications of AL in autonomous and connected vehicles.
.
CO5 Incorporate the human related factors in decision making of ADAS
REFERENCES:

1. Autonomous Driving: How the Driverless Revolution will Change the World, by Andreas
Herrmann, Walter Brenner, Rupert Stadler, ISBN-10 1787148343, ISBN-13 978-
1787148345, Emerald Publishing Limited, 26 March 2018.
2. Autonomous Vehicles: Technologies, Regulations, and Societal Impacts, George
Dimitrakopoulos, Aggelos Tsakanikas, Elias Panagiotopoulos, Paperback ISBN:
9780323901376, eBook ISBN: 9780323901383, 1st Edition – April 14, 2021, Elsevier.
3. Driverless: Intelligent Cars and the Road Ahead (MIT Press) 1St Edition, by Hod Lipson
, Melba Kurmanr), ISBN-13: 978-0262035224, ISBN-10: 0262035227, September 23,
2016.

CO – PO MAPPING:

PO
CO
1 2 3 4 5 6
1 3 2 2 1 3 2
2 3 1 2 1 3 -
3 3 1 2 1 3 -
4 3 1 1 1 3 -
5 3 2 3 1 3 2
Avg 3 2 2 1 3 2
IC3052 HYDROGEN –PRODUCTION AND UTILIZATION L T P C
3 0 0 3
COURSE OBJECTIVES
1. To impart knowledge about hydrogen production from different sources
2. To impart knowledge about utilization of hydrogen in fuel cells.
3. To impart knowledge about utilization of hydrogen in IC engines.

UNIT I INTRODUCTION 9
Properties of hydrogen, safety and storage aspects of hydrogen, hydrogen leakage detection,
regulation - codes – standards.
UNIT II HYDROGEN PRODUCTION FROM FOSSIL FUELS AND 9
BIOMASS
Gasification, Pyrolysis, reforming - steam reforming - partial oxidation – autothermal reforming.

UNIT III HYDROGEN PRODUCTION FROM WATER 9

Fundamentals of electrolysis of water, Types of electrolyzers, sizing of electrolyzers,
electrolysis parameters – current density, pressure, operating temperature, hydrogen purity

UNIT IV UTILIZATION OF HYDROGEN IN FUEL CELL 9

Introduction to fuel cells, thermodynamics and electrochemical kinetics of fuel cells, Fuels cells
for automotive applications – Sizing - Performance evaluation - Parameters affecting the
efficiency

UNIT V UTILIZATION OF HYDROGEN IN IC ENGINES 9

Merits and demerits of hydrogen as a fuel for IC engines, Strategies for using hydrogen as fuel
in IC engines, hydrogen fuel supply system, Performance – combustion - emission
characteristics
TOTAL: 45 PERIODS
COURSE OUTCOMES:
On successful completion of this course the student will be able to
CO1 Demonstrate understanding of properties of hydrogen
CO2 Demonstrate understanding of technologies to produce hydrogen from fossil fuel
and biomass.
CO3 Demonstrate understanding of technologies to produce hydrogen by electrolysis of
water
CO4 Carry out performance analysis and sizing of fuel cell for automotive application.
CO5 Devise strategies for utilizing hydrogen as fuel in IC engines.

REFERENCES:

1. Agata Godula -Jopek, “Hydrogen production: by electrolysis”, 2015, Wiley.

2. Angelo Basile and Adolfo Iulianelli, “Advances in hydrogen production, storage and
distribution”, 2014, Woodhead Publishing.
3. Detlef Stolten, “Hydrogen and Fuel Cells: Fundamentals, Technologies and
Applications”, 2010, Wiley
4. Manfred Klell, Helmut Eichlseder, Alexander Trattner, “Hydrogen in Automotive
Engineering”, 1st Edition, 2022, Springer Wiesbaden.
5. Efstathios-Al. Tingas, “Hydrogen for Future Thermal Engines”, 1st Edition, 2023,
Springer Cham.
CO – PO MAPPING:

PO
CO
1 2 3 4 5 6
1 3 2 2 - 3 1
2 3 1 2 - 3 -
3 3 1 2 - 3 -
4 3 1 1 - 3 -
5 3 2 3 - 3 2
Avg 3 2 - - 3 1.5
IC3051 ADVANCED COMBUSTION TECHNOLOGIES L T P C
3 0 0 3

COURSE OBJECTIVES
1. To provide fundamental knowledge about low temperature combustion concepts
2. To impart in-depth knowledge about various advanced LTC methods
3. To impart knowledge on fuel requirements for LTC combustion and its effect

UNIT I FUNDAMENTALS OF LOW TEMPERATURE COMBUSTION 9

Introduction, low temperature combustion (LTC) Fundamentals – Background of LTC,
Principle, Benefits, Challenges, Need for control.

UNIT II GASOLINE AND DIESEL LOW TEMPERATURE 9

COMBUSTION
Conventional Gasoline and Diesel Combustion, Effects of EGR, Techniques to HCCI
operation in gasoline engines, Overview of diesel HCCI engines, Techniques–Early Injection,
Multiple injections, Narrow angle direct injection (NADI™) concept, Modulated kinetics
(MK)combustion – First and Second generation of MK combustion, RCCI combustion,
Gasoline Direct Injection Compression Ignition (GDCI) combustion.

UNIT III LOW TEMPERATURE COMBUSTION CONTROL 9

Control Methods, Combustion timing sensors, HCCI/SI switching, Transition between
operating modes (HCCI-SI-HCCI), Fuel effects in HCCI - gasoline, diesel, auto-ignition
requirement, combustion phasing, Influence of equivalence ratio, auto-ignition timing,
combustion duration, auto-ignition temperature and auto-ignition pressure, Combustion limits,
IMEP and indicated efficiency, other approaches to characterizing fuel performance in HCCI
engines.

UNIT IV FUEL REQUIREMENTS FOR ADVANCED COMBUSTION 9

Introduction, Background, Diesel fuel HCCI, HCCI fuel ignition quality, Gasoline HCCI, HCCI
fuel specification, Fundamental fuel factors

UNIT V LTC COMBUSTION WITH ALTERNATIVE FUELS 9

Natural gas HCCI engines, CNG HCCI engines, methane/n- butane/air mixtures. DME HCCI
engine - chemical reaction model, Combustion completeness, Combustion control system,
Methodof combining DME and other fuels, Unmixed-ness of DME/air mixture

TOTAL: 45 PERIODS

COURSE OUTCOMES:
On successful completion of this course the student will be able to
CO1 Understand the fundamentals of HCCI combustion, benefits and challenges
CO2 Learn the methods followed to achieve HCCI in Gasoline and Diesel engines
CO3 Learn the HCCI combustion control methods and its significance
CO4 Understand the fuel requirements for HCCI operation and its role on complete load
range operation
CO5 Learn the HCCI operation with alternative fuels and its comparison over conventional
fuels
REFERENCES:
1. Hua Zhao “HCCI and CAI Engines for automotive industry” Wood Head Publishing in
Mechanical Engineering, 2007.
2. Pundir B.P., Engine Combustion and Emission, 2011, Narosa Publishing House.
3. Ganesan V., “Internal Combustion Engines”, 5th Edition, Tata McGraw Hill, 2012.
4. Pundir B. P., Engine Emissions” , 2nd Edition, Narosa publishing house, 2017.
5. John. B. Heywood, “Internal Combustion Engine fundamentals” McGraw – Hill, 1988.
6. HCCI Diesel Engines - NPTEL - https://nptel.ac.in/courses/112104033/34
7. HCCI and CAI Engines – NPTEL - https://nptel.ac.in/courses/112104033/33

CO – PO MAPPING:

PO
CO
1 2 3 4 5 6
1 3 2 - - 3 1
2 3 1 - - 3 -
3 3 1 - - 3 -
4 3 1 - - 3 -
5 3 2 - - 3 2
Avg 3 2 - - 3 1.5
IC3253 COMPUTATIONAL FLUID DYNAMICS FOR L T P C
MOBILITY SYSTEMS
2 0 2 3
COURSE OBJECTIVES
1. To make the students to understand the basic principles of fluid flow, heat transfer,
computational fluid dynamics (CFD) and its applications
1. To enlighten the students on the fundamental governing equations and turbulence
models used in CFD solvers
2. To enable the students to understand grid generation techniques and post processing
techniques.

UNIT I INTRODUCTION 6
Introduction to fluid flow and heat transfer – Mathematical description of fluid flow and heat
transfer, incompressible and compressible flows, turbulent flows, boundary layer theory.
Introduction to Computational Fluid Dynamics (CFD) – Objectives, modelling process, 2D and
3D simulations, advantages, limitations, application domains, software tools.

UNIT II GOVERNING EQUATIONS 6

Mass and momentum conservation equations, Energy conservation equation, Equation of
state, Species transport equations, Scalar transport equations. Turbulence models – RANS,
LES and DNS models.

UNIT III GRID GENERATION AND POST PROCESSING TECHNIQUES 6

Surface preparation, Volume meshing – cell types, structured, unstructured and hybrid
meshing. Considerations for accurate and fast solutions. Mesh generation techniques,
dynamic meshing, overset meshing, mesh size control, y+ and wall layer, adaptive mesh
refinement, grid independence study. Post processing techniques – Vector plot, scalar plot,
streamline plot, flow animation, x-y plot, surface area and mass flow integrated reports

UNIT IV NUMERICAL METHODS 6

Finite volume method, Discretization schemes – First order, higher order and hybrid schemes,
stability of schemes. Steady and unsteady flow solvers – CG and AMG solvers, SIMPLE,
SIMPLER & PISO solution algorithms. Initial and boundary conditions, material properties,
solver control, convergence criteria, parallel processing.

UNIT V ADVANCED CFD SIMULATIONS 6

Compressible flow, conjugate heat transfer, VOF, MRF, porous media, radiation, combustion
and emission simulations. Fluid flow and heat transfer modelling of IC engine, thermal systems,
power generation and storage systems, turbomachinery etc. Introduction to fluid-structure
interaction modelling
TOTAL: 30 PERIODS

LABORATORY EXPERIMENTS (30 PERIODS):

1. Prepare a closed surface geometry for a given application as per given dimensions
2. Clean-up a raw geometry for the given flow domain and mark different boundaries
3. Prepare surface mesh and volume mesh as per given size and quality criteria
4. Prepare volume meshing with different grid controls like wall layering, boundary
refinement, etc.
5. Perform a simple fluid flow analysis as per given problem description
6. Perform a simple heat transfer analysis as per given problem description
7. Perform an advanced CFD analysis as per given problem description
TOTAL : 60 PERIODS
COURSE OUTCOMES:
On successful completion of this course the student will be able to
CO1 Understand the basic principles of fluid flow, heat transfer, computational fluid
dynamics (CFD) and its applications
CO2 Analyse the governing equations and boundary conditions
CO3 Create grid for any simulation domain and post process various simulations
CO4 Setup solvers and perform all common simulations
CO5 Perform advance fluid flow and heat transfer simulations

REFERENCES:

1. Versteeg and Malalasekera, N, “An Introduction to computational Fluid Dynamics The

Finite Volume Method,” Pearson Education, Ltd., Second Edition, 2014.
2. Ghoshdastidar, P.S., “Computer Simulation of Flow and Heat Transfer”, Tata McGraw-
Hill Publishing Company Limited, New Delhi, 1998.
3. Muralidhar, K., and Sundararajan, T., “Computational Fluid Flow and Heat Transfer”,
Narosa Publishing House, New Delhi, 2003.
4. Subas and V.Patankar “Numerical heat transfer fluid flow”, Hemisphere Publishing
Corporation,1980.
5. Jiyuan Tu, Guan Heng Yeoh, Chaogun Liu, “Computational Fluid Dynamics A Practical
Approach” Butterworth – Heinemann An Imprint of Elsevier, Madison, U.S.A., 2008
6. John D. Anderson . JR. “Computational Fluid Dynamics The Basics with Applications”
McGraw-Hill International Editions, 1995.
CO – PO MAPPING:

PO
CO
1 2 3 4 5 6
1 3 2 1 1 1 1
2 3 1 2 1 1 -
3 3 1 2 3 1 -
4 3 1 2 3 3 -
5 3 2 2 3 3 3
Avg 3 2 2 2 3 2
MB3001 OPTIMIZATION TECHNIQUES FOR MOBILITY L T P C
3 0 0 3

COURSE OBJECTIVE:
To provide students the knowledge of optimization techniques and approaches. Formulate a
real-world problem as a mathematical model and finding solutions

UNIT I INTRODUCTION TO OPTIMIZATION TECHNIQUE 9

Introduction to optimization- Classification of Optimization - Classical Optimization
Techniques- Single-Variable Optimization - Multivariable Optimization with No Constraints -
Multivariable Optimization with Equality Constraints- Multivariable Optimization with Inequality
Constraints- Transportation.

UNIT II NONLINEAR PROGRAMMING- I 9

One-Dimensional Minimization Methods - Unimodal Function, Elimination Methods-
Unrestricted Search -Exhaustive Search - Dichotomous Search- Interval Halving Method-
Fibonacci Method- Golden Section Method, Interpolation Methods - Quadratic Interpolation
Method - Cubic Interpolation Method -Direct Root Methods -Newton Method Quasi-Newton
Method -Secant Method.

UNIT III NONLINEAR PROGRAMMING -II 9

Unconstrained Optimization Techniques -Direct Search Methods -Indirect Search (Descent)
Methods, Nonlinear Programming III: Constrained Optimization Techniques- DIRECT
Methods-Indirect Methods, Geometric Programming, Dynamic Programming, Integer
Programming -Integer Linear Programming - Stochastic Programming.

UNIT IV MODERN METHODS OF OPTIMIZATION 9

Genetic Algorithms -Simulated Annealing -Particle Swarm Optimization -Ant Colony
Optimization -Optimization of Fuzzy Systems - Neural-Network-Based Optimization, Practical
Aspects of Optimization.

UNIT V OPTIMIZATION TECHNIQUES ON MOBILITY ENGINEERING 9

Design and optimization of hybrid electric vehicle powertrain-Real-time Energy Optimization
of Hybrid Electric Vehicle-Optimizing Electric Vehicle Performance-Optimization of Fuel Cell
System Operating Conditions for Fuel Cell Vehicles-Optimization of the air loop system in a
hydrogen fuel cell- Energy Management Strategy and Parameter Optimization of Fuel Cell
Electric Vehicles.

TOTAL : 45 PERIODS

COURSE OUTCOMES:

CO1 Explain the fundamental knowledge of optimization techniques

CO2 Learn the Linear programming and apply it in engineering field.
CO3 Understand the Non-linear programming and apply it in mobility
engineering field,
CO4 Understand the modern optimization techniques and practical aspects
of optimization
CO5 Use a different optimization techniques on electric vehicle and hybrid
vehicle, fuel cell for parameters optimization
REFERENCES:

1. Kalyanmoy Deb, Optimization for Engineering design – algorithms and examples. PHI,
New Delhi, 2012
2. Singiresu S.Rao, “Engineering optimization – Theory and practices”, John Wiley and
Sons, 1998.
3. Engineering Optimization (4th Edition) by S.S.Rao, New Age International,
4. Genetic algorithms in Search, Optimization, and Machine learning – D.E.Goldberg,
Addison-Wesley Publishers.

CO – PO MAPPING:

PO
CO
1 2 3 4 5 6
1 3 2 - - 3 3
2 3 1 - - 3 -
3 3 1 - - 3 -
4 3 1 - - 3 -
5 3 2 - - 3 3
Avg 3 2 - - 3 3
MB3002 MACHINE LEARNING IN MOBILITY LTPC
300 3
COURSE OBJECTIVE:

To understand the concepts of machine learning and its various algorithms and explore the
different supervised and unsupervised learning techniques to adopt in mobility engineering

UNIT I INTRODUCTION AND MATHEMATICAL FOUNDATIONS 9

Machine Learning Need –History – Definitions – Applications - Advantages, Disadvantages &
Challenges of Machine learning -Types of Machine Learning Problems – Mathematical
Foundations - Linear Algebra & Analytical Geometry -Probability and Statistics- Bayesian
Conditional Probability.

UNIT II SUPERVISED LEARNING 9

Introduction-Discriminative and Generative Models -Linear Regression - Least Squares -
Under-fitting / Overfitting -Cross-Validation – Lasso Regression- Classification - Logistic
Regression- Gradient Linear Models -Support Vector Machines –Kernel Methods -Instance
based Methods - K-Nearest Neighbors - Tree based Methods –Decision Trees –ID3 – CART
- Ensemble Methods –Random Forest.

UNIT III UNSUPERVISED LEARNING AND REINFORCEMENT LEARNING 9

Introduction - Clustering Algorithms -K – Means – Hierarchical Clustering - Cluster Validity -
Dimensionality Reduction –Principal Component Analysis – Recommendation Systems - EM
algorithm. Reinforcement Learning – Elements -Model based Learning – Temporal Difference
Learning

UNIT IV PROBABILISTIC METHODS FOR LEARNING 9

Introduction -Naïve Bayes Algorithm -Maximum Likelihood -Maximum Apriori -Bayesian Belief
Networks -Probabilistic Modeling of Problems -Inference in Bayesian Belief Networks-
Clustering – Hierarchical, Partitioned clustering: K-means, PAM, eXplainable AI (XAI),
Approaching an ML problem.

UNIT V MACHINE LEARNING IN MOBILITY APPLICATION 9

Wireless Battery Management System for both Hybrid Electric Vehicles and Battery Electric
Vehicles-multi-mode plug-in hybrid electric vehicle- Fault mode detection of a hybrid electric
vehicle and fuel cell vehicles-Cooperative energy management and eco-driving of plug-in
hybrid electric vehicle-Health prediction for battery systems in real-world electric vehicles-
Renewable energy and electric vehicle management for cold-climate regions- off-road hybrid
electric vehicles.
TOTAL :45 PERIODS
COURSE OUTCOMES:

CO1: Understand the basic concepts of machine learning

CO2: Implement Discriminative and Generative algorithms for an application and analyze
the results.
CO3: Understand the Clustering Algorithms, EM Algorithm and Reinforcement
Learning
CO4: Use a tool to implement different algorithms for different types of applications
CO5: Use a different machine learning algorithms for electric vehicle and hybrid vehicle
application
REFERENCES:

1. Tom Mitchell, “Machine Learning”, First Edition, Tata McGraw Hill India, 2017.
2. Hal Daumé III, “A Course in Machine Learning”, 2017 (freely available online)
3. Stephen Marsland, “Machine Learning: An Algorithmic Perspective”, Chapman &
Hall/CRC, 2nd Edition, 2014.
4. Kevin Murphy, “Machine Learning: A Probabilistic Perspective”, MIT Press, 20123.

CO – PO MAPPING:

PO
CO
1 2 3 4 5 6
1 3 2 - - 3 2
2 3 1 - - 3 -
3 3 1 - - 3 -
4 3 1 - - 3 -
5 3 2 - - 3 2
Avg 3 2 - - 3 2
PW3151 ELECTRIC VEHICLE CHARGING INFRASTRUCTURE LT P C

3003
UNIT I INTRODUCTION 9
Introduction to EV Systems: Benefits of EV – Battery Charging Modes - Electric Vehicle
Supply Equipment (EVSE) and its components – Classification of chargers based on
charging levels : AC Slow Charger, DC Fast Charger - AC-DC Converter and DC-DC
Converter for EV Charger: Types and Working Principles - Modes of charging based on IEC
61851 - Plugs and connectors - Cables: without thermal management, with thermal
management - Standards related to Connectors and Communication – Challenges in
Charging Infrastructure - Battery Swapping

UNIT II BUSINESS MODEL AND ELECTRICITY TARIFF STRUCTURE 9

Introduction - integrated business model - independent business model - tariff structure

UNIT III ELECTRIC DISTRIBUTION SYSTEM FOR FAST CHARGING

INFRASTRUCTURE 9
Single line diagram of fast charging infrastructure - Major components of fast charging
infrastructure - Single point of failure - Configuration of electric distribution considering
redundancy - Other configurations

UNIT IV POWER QUALITY AND EMI/EMC CONSIDERATIONS 9

Power Quality: Impact of poor power quality from Power grid on EVSE - Impact of poor power
quality from EVSE on power grid – EMI/EMC: Sources of EMI, Differential Mode Noise,
Common Mode Noise, LISN, Measuring of EMI/EMC Spectrum, Design of DM filters, CM
filters

UNIT V ENERGY STORAGE SYSTEMS 9

Need for Energy Storage Systems for charging infrastructure - Renewable Energy Resources
and ESS for Fast Charging Infrastructure - Modes of operation - Microgrids for Charging
Infrastructure

TOTAL: 45 PERIODS
COURSE OUTCOMES:
Upon the successful completion of the course, students will be able to:
CO1: Design and select AC and DC chargers.
CO2: Understand and create awareness about power purchase and its tariff policy and its
regulations.
CO3: Design a fast-charging infrastructure in a distribution network.
CO4: Understand the consequences of power quality issues and EMI/EMC in power grid.
CO5: Analyze the need for ESS in EVSE and ESS integrated to the microgrid.

REFERENCES:
1. Sivaraman P, Sharmeela C, Sanjeevikumar P, “Fast Charging Infrastructure for
Electric and Hybrid Electric Vehicles”, First Edition, Wiley, 2023.
2. Sulab sachan, Sanjeevikumar P, Sanchari Deb, “Smart Charging Solutions for Electric
and Hybrid Vehicles”, First Edition, Scrivener Publishing LLC, 2022.
3. Iqbal Husain, “Electric and Hybrid Vehicles”, Third Edition, CRC press, 2021.
4. L.Ashok Kumar, S.Albert Alexander, ”Power converters for Electric Vehicles”, First
edition, CRC Press,2021.
5. Mehrdad Ehsani, Yimin Gao, Stefano Longo. Kambiz Ebrahimi,” Modern Electric,
Hybrid Electric, and Fuel cell vehicles”, Third Edition, CRC Press,2019.
 MAPPING OF COs WITH POs

CO PO1 PO2 PO3 PO4 PO5 PO6

CO1 3 1 1 - 2 3
CO2 3 1 1 - 2 3
CO3 3 1 1 - 2 3
CO4 3 1 1 - 2 3
CO5 3 1 1 - 2 3
Average 3 1 1 - 2 3
PW3052 ELECTRIC VEHICLES AND POWER MANAGEMENT L T PC
3 0 0 3

UNIT I HYBRID ELECTRIC VEHICLE ARCHITECTURE AND POWER TRAIN

COMPONENTS 9
History of Evolution of Electric Vehicles (EV) - Comparison of Electric Vehicles with Internal
Combustion Engines - Architecture of Electric Vehicles (EV) and Hybrid Electric Vehicles
(HEV) – Plug-in Hybrid Electric Vehicles (PHEV)- Power Train Components and Sizing, Gears,
Clutches, Transmission and Brakes

UNIT II MECHANICS OF HYBRID ELECTRIC VEHICLES 9

Fundamentals of Vehicle Mechanics - Tractive Force, Power and Energy Requirements for
Standard Drive Cycles of HEV's - Motor Torque - Power Rating and Battery Capacity

UNIT III CONTROL OF DC AND AC MOTOR DRIVES 9

Speed control for Constant Torque, Constant HP operation of all Electric Motors - DC/DC
chopper based Four Quadrant Operation of DC Motor Drives, Inverter-based V/f Operation
(motoring and braking) of Induction Motor Drives, Vector Control Operation of Induction Motor
and PMSM, Brushless DC Motor Drives, Switched Reluctance Motor (SRM) Drives

UNIT IV ENERGY STORAGE SYSTEMS 9

Battery: Principle of operation, Types, Estimation Of Parameters, Battery Modeling, SOC of
Battery, Traction Batteries and their capacity for Standard Drive Cycles, Vehicle to Grid
operation of EV's -Alternate sources: Fuel cells, Ultra capacitors, Fly wheels

UNIT V HYBRID VEHICLE CONTROL STRATEGY AND ENERGY MANAGEMENT

9
HEV Supervisory Control - Selection of modes - Power Spilt Mode - Parallel Mode - Engine
Brake Mode - Regeneration Mode - Series Parallel Mode - Energy Management of HEV's

TOTAL: 45 PERIODS
COURSE OUTCOMES:
Upon completion of the course, students will be able to:
CO1: Learn the electric vehicle architecture and power train components.
CO2: Acquire the concepts of dynamics of Electrical Vehicles.
CO3: Understand the vehicle control for Standard Drive Cycles of Hybrid Electrical Vehicles
(HEVs).
CO4: Ability to model and understand the Energy Storage Systems for EV.
CO5: Acquire the knowledge of different modes and Energy Management in HEVs.

REFERENCES:
1. Iqbal Husain, “Electric and Hybrid Electric Vehicles”, First Edition, CRC Press, 2011
2. Wei Liu, “Hybrid Electric Vehicle System Modeling and Control”, Second Edition, Wiley,
2017
3. James Larminie and John Lowry, “Electric Vehicle Technology Explained”, Second
Edition, 2012
4. Mehredad Ehsani, Yimi Gao, Stefano Longo and Kambiz Ebrahimi,” Modern Electric,
Hybrid Electric and Fuel cell Vehicles”, Third edition, CRC Press, 2019
5. Jingsheng Yu and Vladimir V. Vantsevich, “Control Application of Vehicle Dynamics”,
First Edition, CRC Press, 2021
 MAPPING OF COs WITH POs AND PSOs

CO PO1 PO2 PO3 PO4 PO5 PO6

CO1 3 1 2 1 - 3
CO2 3 1 2 1 - 3
CO3 3 1 2 1 - 3

CO4 3 1 2 1 - 3

CO5 3 1 2 1 - 3

Average 3 1 2 1 - 3
PW3059 ELECTRICAL DRIVES AND CONTROL L T P C
3 0 0 3
COURSE OBJECTIVES
1. To expose the students to the fundamentals of electric drives systems and their
components
2. To understand AC and DC drives, and to model and control them

UNIT I INTRODUCTION 9
Concepts, and classification of Electric drives - Selection of motors - Dynamics of Electric
drives: Types of loads, Multi quadrant operations, motor dynamics steady state stability and
transient stability - Rating and Heating of motors: Heating effects, heating and cooling curves
- classes of duty - load equalization.

UNIT II POWER SEMICONDUCTOR DEVICES 9

Construction and Characteristics of Power Diodes, BJT, SCR, TRIAC, MOSFETs, and IGBT-
Half wave rectifier – mid-point secondary transformer based full wave rectifier – bridge rectifier-
distortion factor – capacitor filter for low power rectifiers – LC filters – Concern for power quality
– three phase Diode Bridge.

UNIT III DYNAMIC MODELING OF ELECTRIC MACHINES 9

Construction and types of Electric motors - Development of dynamic equations of DC motor -
derivation of dynamic equations of three phase AC machine (only cylindrical rotor), SRIM and
PMSM - development of steady state machine models (equivalent circuit) from the dynamic
equations

UNIT IV DC MOTOR DRIVES 9

Basic characteristics - Single phase and three phase controlled rectifier fed DC drives -Dual
converters drives - Chopper drives - Rheostat and regenerative braking - effects of changes in
supply voltage and load torque - closed loop control schemes.

UNIT V AC MOTOR DRIVES 9

Induction motor drives - Voltage Source Inverter and its PWM strategies - stator voltage control
- stator impedance control, rotor voltage control - Slip power recovery, FOC, DTC, Sensorless
control - Dynamic, plugging, and regenerative breaking - Need for harmonic filter.
Control of Synchronous motors, Brushless DC motor, Permanent Magnet Synchronous motor,
and Synchronous Reluctance Motor.
TOTAL: 45 PERIODS
COURSE OUTCOMES:
On successful completion of this course the student will be able to
CO1 Gain fundamental knowledge on electric motors and power electronics
CO2 Acquire and develop knowledge on control systems
CO3 Gain knowledge on drive system architecture and components
CO4 Explore real-world applications of electrical drives and control systems across
various industries
CO5 Develop and design controlled electrical drives & control systems to ensure system
stability and reliable operations
REFERENCES:

1. G.K. Dubey, Fundamentals of Electric Drives, , 2nd Edition, Narosa publishing House,
2010
2. V Subrahmanyam, Electric Drives, 2nd Edition, McGrawhill Education, 2010
3. R. Krishnan, “Electric Motor Drives-Modeling, Analysis, and Control”, Prentice Hall
India, 2001
4. Rashid M.H., Power Electronics Circuits, Devices and Applications, Prentice Hall India,
3 rd Edition, New Delhi, 2004.
5. Ned Mohan, T.M.Undeland, W.P.Robbins,”Power Electronics: Converters, applications
and design”, John Wiley and Sons, 3rd Edition (reprint), 2009.
6. PhilipT.Krein, Elements of Power Electronics, Oxford University Press, 2013. 4.
P.C.Sen, Power Electronics, Tata McGraw-Hill, 30th reprint, 2008.

CO – PO MAPPING:

PO
CO
1 2 3 4 5 6
1 3 2 - - 3 1
2 3 1 - - 3 -
3 3 1 - - 3 -
4 3 1 - - 3 -
5 3 2 - - 3 2
Avg 3 2 - - 3 1.5
ET3252 EMBEDDED CONTROL FOR ELECTRIC DRIVES LTPC

2023

UNIT I INTRODUCTION ELECTRICAL DRIVES 6

Electric drive and its classifications, Four-quadrant drive, Dependence of load torque on various
factors, Dynamics of motor-load combination-Solid State Controlled Drives-Machine learning
and optimization techniques for electrical drives- IoT for Electrical drives applications.

UNIT II EMBEDDED PROCESSOR 6

Embedded Processor architecture - RTOS - Hardware/software co-design Programming and
optimization with SoC processors - control algorithms implementation for power converter.

UNIT III INDUCTION MOTOR CONTROL 6

Types - Speed control methods - PWM techniques- VSI fed three - phase induction motor-
Fuzzy logic Based speed control for three phase induction motor - FPGA based three phase
induction motor control.

UNIT IV BLDC MOTOR CONTROL 6

Overview of BLDC Motor - Speed control methods - PWM techniques - ARM processor based
BDLC motor control - ANN for BLDC Motor control and operation.

UNIT V SRM MOTOR CONTROL 6

Overview of SRM Motor - Speed control methods - PWM techniques - FPGA based SRM motor
control - DNN for SRM Motor control and operation.
30 PERIODS
SKILL DEVELOPMENT ACTIVITIES (Hands on laboratory practice / Seminar/ Mini Project/etc)
30 PERIODS

1. Laboratory exercise: Use any System level simulator/MATLAB/open-source platform to

give hands-on training on simulation study on Electric drives and control.
a. Simulation of four quadrant operation and speed control of DC motor
b. Simulation of 3-phasee inverter.
c. Simulation of Speed control of Induction motor using any suitable software
package.
d. Simulation of Speed control of BLDC motor using any suitable software package.
e. Simulation of Speed control of SRM using any suitable software package
2. Seminar: IoT-based Control and Monitoring for DC Motor/ any Electric drives.
3. Mini project.: Any Suitable Embedded processor-based speed control of Motors
(DC/IM/BLDC/PMSM/SRM)

TOTAL: 60 PERIODS
COURSE OUTCOMES:
At the end of this course, the students will have the ability to
CO1: Interpret the significance of embedded control of electrical drives
CO2: Deliver insight into various control strategy for electrical drives.
CO3: Developing knowledge on Machine learning and optimization techniques for motor
control.
CO4: Develop embedded system solution for real time application such as Electric vehicles
and UAVs.
CO5: Improved Employability and entrepreneurship capacity due to knowledge up gradation
on recent trends in embedded system skills required for motor control strategy.
REFERENCES:
1. R.Krishnan, “Electric Motor Drives - Modeling, Analysis and Control”, Prentice-Hall of
India Pvt. Ltd., New Delhi,2010.
2. Vedam Subramanyam, “Electric Drives - Concepts and Applications”, Tata McGraw-
Hill publishing company Ltd., New Delhi, 2002
3. K. Venkataratnam, “Special Electrical Machines”, Universities Press, 2014.
4. Steve Furber, “ARM system on chip architecture”, Addision Wesley,2010.
5. Ron Sass and AnderewG.Schmidt, “Embedded System design with platform FPGAs:
Principles and Practices”, Elsevier, 2010.
6. Steve Kilts, "Advanced FPGA Design: Architecture, Implementation, and Optimization"
Willey, 2007.

MAPPING OF COs WITH POs

CO PO1 PO2 PO3 PO4 PO5 PO6

CO1 1 - 2 - 2 -
CO2 1 1 3 - - 2
CO3 2 - - - 3 -
CO4 1 2 3 1 - -
CO5 - - - - 3 -
Average 1.66 1.5 2.7 1 2.7 2