Python implementation of battery Equivalent Circuit Models (Thevenin/Extended Thevenin) for SOC, SOH, and RUL estimation. Full pack simulation with passive/active cell balancing. Based on TU Berlin M.Sc. thesis and University of Colorado BMS coursework.

Python script that splits .otr files so they are compatible with the Nintendo Switch preferred fat32 filesystem

This project presents an intelligent energy storage and management system designed to improve the reliability, efficiency, and safety of renewable energy integration. It combines embedded systems, power electronics, IoT, and machine learning to address challenges such as intermittency, battery degradation, and inefficient energy utilization.

LSTM/RNN models for battery State-of-Health (SOH) prediction and degradation forecasting on industrial time-series data