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Comparition of Soc Estimation

The document outlines various battery testing techniques, their applications, advantages, and drawbacks. Techniques include Discharge Test, Coulomb Counting, OCV, EMF, Linear Model, Impedance Spectroscopy, DC Internal Resistance, Artificial Neural Networks, Fuzzy Logic, and Kalman Filters. Each method has specific use cases and limitations, such as accuracy, cost, and the need for calibration or training data.

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0% found this document useful (0 votes)
25 views1 page

Comparition of Soc Estimation

The document outlines various battery testing techniques, their applications, advantages, and drawbacks. Techniques include Discharge Test, Coulomb Counting, OCV, EMF, Linear Model, Impedance Spectroscopy, DC Internal Resistance, Artificial Neural Networks, Fuzzy Logic, and Kalman Filters. Each method has specific use cases and limitations, such as accuracy, cost, and the need for calibration or training data.

Uploaded by

DEPT MECH
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
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Download as DOCX, PDF, TXT or read online on Scribd
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Technique Application Advantages Drawbacks

field
Discharge Test Used for capacity Easy and accurate; Offline, time intensive, modifies the battery state, loss of
Determination at the Independent of energy
beginning of life SOH
Coulomb All battery systems, Accurate if Sensitive to parasite reactions; needs regular re-
Counting most applications enough re- calibrations points
calibration points
are available and
with good current
measurements
OCV Lead,Lithium,Zn/Br Online,cheap,OC Needs long rest time (current=0)
V prediction
EMF Lead, Lithium Online,cheap,EM Needs long rest time (current=0)
F prediction
Linear model Lead photovoltaic Online, easy Needs reference data for fitting parameters
Impedance All systems Gives information Temperature sensitive, cost intensive
spectroscopy about SOH and
quality
DC internal Lead,Ni/Cd Gives information Good accuracy, but only for a short time interval
resistance about SOH,
possibility of
online
measurements
Artifical neural All battery systems Online Needs training data of a similar battery, expensive to
networks implement
Fuzzy logic All battery systems Online Ask memory in real-word application
Kalman filters All battery Online, dynamics Difficult to implement the filtering algorithm that
systems,PV,dynami considered
c application

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