works on
battery health estimation 1contextual learning 1interpretability 1symbolic distillation 1trustworthy AI 1

From the 1 of 1 linked paper with an AI index.

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1 paper

cs.LG2026

TIDE: Trustworthy and Interpretable Battery Degradation Estimation with Contextual Learning and Symbolic Distillation

Wen Yang Tan, Jiawei Li, Fang Liu +4

The paper introduces TIDE, a machine‑learning system that combines battery domain knowledge with operational data to estimate battery health accurately while providing trustworthy…