Why use this?

PyBaMM enables efficient simulation of battery performance and aging through physics-based continuum models. It includes a framework for writing and solving differential-equation systems, a library of battery models and parameters, and specialized tools for simulating battery experiments and visualizing results.

Renewable-energy and battery engineers choose PyBaMM when they need to explore how cell design, chemistry, operating conditions, and modeling assumptions affect performance. It is used for lithium-ion cell design, degradation studies, fast-charging analysis, research, and digital-twin development, with flexible model definitions and fast simulations across operating scenarios. [109][117]

Key Features

• Physics-based battery models including continuum electrochemical models
• Performance, aging, and degradation simulation
• Library of battery models, parameters, and experiment definitions
• Flexible model definition and fast numerical solving
• Python-native workflows for research and engineering analysis