Tianwen Zhu

Physics-Informed Multi-Task Learning for Battery State of Health Prediction with Uncertainty Quantification

Existing battery State of Health (SOH) prediction approaches often struggle to provide both accurate predictions and reliable uncertainty estimates. This paper presents a novel Multi-Task Learning (MTL) framework that jointly tackles SOH prediction and provides a proxy metric for uncertainty through