A hybrid battery model that learns sparse corrections to a reduced-order physics model reduces unseen-cycle voltage MSE by up to 46%, with conformal intervals above 90% coverage.
Reinforcement learning of optimal input excitation for parameter estimation with application to li-ion battery,
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Augmented Physics-Based Li-ion Battery Model via Adaptive Ensemble Sparse Learning and Conformal Prediction
A hybrid battery model that learns sparse corrections to a reduced-order physics model reduces unseen-cycle voltage MSE by up to 46%, with conformal intervals above 90% coverage.