Author

Jing-Han Ma

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Open access Aug 2026

Physics-Informed Transfer Learning for Cross-Condition State of Health Prediction of Lithium-Ion Batteries

This study proposes a physics-informed transfer learning (PITL) framework that combines a common health descriptor space, parameter function decomposition, and PINN–DeepHPM regularization, and partial freezing can lower adaptation cost, but its accuracy benefit is target dependent.

Jing-Han Ma, Junjun Wang, Changru Rong et al. · Electronics · 0 citations