Training a Battery AI Model with PyBaMM: Predicting SOH and RUL
Train scikit-learn regressors on PyBaMM-style EIS features and operating metadata to predict battery SOH and RUL.
Battery Modeling for AI
Generate Battery Aging and EIS AI Datasets with PyBaMM
Build a reproducible PyBaMM data factory for SOH, RUL, LLI, LAM, plating, and impedance-feature labels.
PyBaMM EIS Data Generation: Impedance Features and AI Labels
Use PyBaMM core EISSimulation to generate impedance spectra, extract features, and align them with aging labels.
Reading PyBaMM Fast: Architecture for Battery Modeling and AI Data
A PhD-level guide to PyBaMM expression trees, Simulation, model options, metadata, and AI dataset design.