Causal Physics-Infused Hybrid Learning (CPIHL) Framework for Next-Gen Battery Health Forecasting
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DOI: 10.1109/access.2025.3556314
Abstract: A novel hybrid model, denoted by Causal Physics-Informed Hybrid Learning Neural Networks (CPIHL), is developed in this study to significantly enhance the accuracy, interoperability, and real-time feasibility of battery health predictions. The model incorporates the… read more here.
Keywords: battery; framework; causal physics; battery health ... See more keywords