pybamm-team/PyBaMM

Health v2 · maintenance only

Adoption not part of the score

1648 stars · 792 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

PyBaMM (Python Battery Mathematical Modelling) is an open-source Python package for fast, flexible physics-based battery simulation. It provides a framework for defining and solving systems of differential equations, a library of battery models and parameters, and tools for simulating battery experiments and visualizing results.

Use cases

• simulate lithium-ion battery discharge curves
• model battery degradation and aging
• compare battery models like SPM, DFN, and Doyle-Fuller-Newman
• run constant-current charge/discharge experiments in Python
• explore effect of battery design parameters on performance
• fit battery parameters to experimental data
• integrate battery simulation with Python data science and ML workflows

When to choose

• you need physics-based battery models rather than equivalent-circuit approximations
• you want to prototype and compare multiple electrochemical models quickly in Python
• you are doing battery R&D research and need open-source, extensible simulation tools
• you need fast solvers for battery-specific experiments with visualization built in

When to avoid

• you only need simple equivalent-circuit battery models for circuit simulation
• you need real-time battery management system deployment rather than offline simulation
• you work outside Python and cannot use a Python-based toolchain
• you need commercial support and turnkey GUI-based battery simulation software

Facets

library · maturity active

simulation math data-visualization simulation energy data-science python cross-platform battery-models electrochemistry differential-equations physics-based-modeling batteries scientific-computing solver research

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markdown · JSON · MCP: product_card(name="pybamm-team/PyBaMM")