PI-LSTM cuts RMSE by 81.9% and MAE by 81.3% versus standard LSTM on 13 battery datasets by enforcing thermal diffusion constraints during training.
Battery thermal runaway fault prognosis in electric vehicles based on abnormal heat generation and deep learning algorithms
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Physics-Enhanced Deep Learning for Proactive Thermal Runaway Forecasting in Li-Ion Batteries
PI-LSTM cuts RMSE by 81.9% and MAE by 81.3% versus standard LSTM on 13 battery datasets by enforcing thermal diffusion constraints during training.