Jing-Yang Tian

Physics-Informed DeepONet With Ensemble Pretraining and Dynamic Loss Weighting for Lithium-Ion Battery State-of-Health Estimation

Accurate state-of-health (SOH) estimation is critical for the safe operation and predictive maintenance of lithium-ion batteries. Existing data-driven methods lack physical interpretability, while physics-informed neural networks (PINNs) often suffer from gradient conflicts and training instability. This article propos...