BESSie
Battery degradation prediction for grid-scale energy storage
Physics-based lithium-ion battery degradation model with an ML surrogate layer. Predicts capacity fade across four service classes — solar shift, peak shaving, frequency regulation, and backup reserve. Includes a trust and provenance system that flags when predictions leave calibrated bounds. Generates PDF reports for operators. 153 tests passing, calibrated against UConn, Sandia, and Naumann laboratory datasets. LFP chemistry, v0.8.1. Currently being validated against real-world BESS installations.