2 papers
cs.LG2026
TIDE: Trustworthy and Interpretable Battery Degradation Estimation with Contextual Learning and Symbolic Distillation
Wen Yang Tan, Jiawei Li, Fang Liu +4
Battery health estimation is fundamental for battery management in battery-powered systems, where inaccurate health states may affect control, maintenance, and service life. It bec…
eess.SP2026
Interpretable Battery Aging without Extra Tests via Neural-Assisted Physics-based Modelling
Yuan Qiu, Wei Li, Wei Zhang +4
State of health (SoH) is widely used for battery management, but it is a single scalar and offers limited interpretability. Two batteries with similar SoH can exhibit very differen…