Physics-Informed Gaussian Process Regression for Battery Health Estimation Under Distribution Shift
Accurate state-of-health (SOH) estimation is essential for safe, reliable battery management. Existing data-driven SOH estimation methods frequently exhibit limited operational coverage and lack calibrated predictive uncertainty under distribution shift. This study presents a physics-informed Gaussian process regressio...