Yu-Wei Zhang

A Joint Multi-Physics-Constrained Physics-Informed Neural Network and Adaptive Extended Kalman Filter Method for State-of-Charge Estimation of Lithium-Ion Batteries

We propose a two-stage joint estimation method combining a multi-physics-constrained physics-informed neural network (PINN) with an adaptive extended Kalman filter (AEKF) for lithium-ion battery state-of-charge (SOC) estimation. Three constraints—an RC polarization dynamics ODE residual, discharge voltage–SOC monotonic...