krithicswaroopan/Lithium-ion_battery_SOH_Prediction
The project analyzes battery cycling data to predict degradation patterns and performance metrics using both deep learning (LSTM) and traditional machine learning (XGBoost) approaches. The implementation enables accurate estimation of battery health, which is crucial for battery management systems in various applications.
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Jupyter Notebook
License
MIT
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Last pushed
Apr 14, 2025
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