Deep learning of lithium-ion battery SOH using the DeTransformer model learns the aging characteristics of the battery and then makes predictions about the battery SOH in order to monitor the health of batteries in electric vehicles.

TFDSUNet: Time-Frequency Dual-Stream Uncertainty Network for Battery SOH/SOC Prediction

Degradation mode analysis tool in MATLAB; including optional blend anode OCP calculation

Deep Learning for Battery State of Health Prediction using Pyramid TCN-Transformer

The code for my master's thesis.

Machine Learning based EV Battery Health Prediction Dashboard using FastAPI, Streamlit, and Random Forest to estimate battery SOH, risk level, and maintenance recommendations.