Curated index of open-source electrochemical battery models (DFN/P2D, SPM, SPMe) with reproducibility-focused reviews.
Neural ODE-based State of Charge (SOC) estimation for Li-ion batteries using the NASA Battery Dataset. Built as a weekend project to explore learned dynamics for battery modeling, with visualizations designed for engineering audiences.
Our Graduation project in Electric Vehicle Digital Twin, designed for real-time simulation of battery and motor behavior.
Physics-based electrochemical modeling of lithium-ion cells in Python: a from-scratch DFN/SPM solver, parameter estimation, and thermal, degradation, and design studies, validated against PyBaMM.
Python battery pack simulator: ECM electro-thermal model, RTE, BMS, thermal runaway, drive cycles, EV/grid/UPS analysis.
MATLAB/Simulink battery SOC estimation project comparing Coulomb Counting, EKF, and UKF using a 1-RC lithium-ion battery model.
Research-grade, AI-augmented Battery Management System (BMS) digital twin for a multi-cell Li-ion pack: ECM, thermal, balancing, SOC estimation (EKF/UKF/LSTM), hybrid fault detection, FMEA/RUL, EV range prediction, plus a Streamlit dashboard. 155 tests passing.
Battery Management System (BMS) State of Charge (SoC) estimator for Lithium-Ion batteries using an Extended Kalman Filter (EKF). Features a realistic simulation environment with sensor fusion, noise compensation, and voltage relaxation dynamics modeling.
Electro-thermal lithium-ion battery cell modeling using Simscape Electrical and Simulink
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