pybamm

Fast and flexible physics-based battery models in Python

Curated index of open-source electrochemical battery models (DFN/P2D, SPM, SPMe) with reproducibility-focused reviews.

Code and data for the paper "Systematic derivation and validation of a reduced thermal-electrochemical model for lithium-ion batteries using asymptotic methods" by Brosa Planella et al. (2021).

An automated Twitter Bot that Tweets random Battery Simulations and replies to requested Battery Simulations.

A copier template for battery modeling projects using PyBaMM

C/C++ solvers used by PyBaMM, and their Python bindings

pybamm.org website source code

A comprehensive simulation platform integrating vehicle dynamics, environment emulation, body controls, and battery management for holistic testing and validation of automated vehicles.

Battery toolbox for PathSim

Sandbox to develop, test and compare Kalman Fitler-enabled estimation techniques for state of charge of a sample lithium-ion battery, utilizing transient signals to predict state across points in time.

Physics-based electrochemical modeling of lithium-ion cells in Python: a from-scratch DFN/SPM solver, parameter estimation, and thermal, degradation, and design studies, validated against PyBaMM.

Phase 1 battery fleet study across three different battery chemistries (residential systems) include the analysis: telemetry quality, SOH forecasting, anomaly screening, PyBaMM reference models, and synthetic dispatch.

NFPP Sodium-Ion Energy Storage Evaluation for Distribution Networks

Observability-aware battery fault diagnostics with calibrated abstention, external simulation, and measured-cell evaluation.

Localization of The PyBaMM Documentation

[WORK IN PROGRESS] an attempt to run PyBaMM simulations in the browser via Pyodide 🌐

PyBaMM sensitivity analysis of electrolyte conductivity and thickness in a PILBCP-inspired solid polymer electrolyte battery.

NLP-to-simulation pipeline that extracts lithium-ion battery parameters from scientific literature, validates them against published data, and runs reproducible PyBaMM simulations.

Battery second-life grading, RUL prediction, and AI material passport for EV batteries — ET AutoTech Hackathon 2026, Theme 5: AI for Circular Economy.

Research-ready, reproducible lithium-ion battery digital twin built on PyBaMM, with modular models, validation, thermal simulation, and Vicena/Rowan compute routing.