Rigur-Calypso/Battery-Soc-Transformer
Transformer-based deep learning model for accurate battery State of Charge (SoC) estimation using voltage, current, and temperature time-series. Includes dataset preprocessing, training notebook, and trained model. Achieves ~0.38% RMSE.
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