Research papers · Posted 2025.12.31 · Preprint
BatteryAgent: Synergizing Physics-Informed Interpretation with LLM Reasoning for Intelligent Battery Fault Diagnosis
BatteryAgent: Synergizing Physics-Informed Interpretation with LLM Reasoning for Intelligent Battery Fault Diagnosis
Overview
BatteryAgent combines electrochemical features, gradient-boosted detection, SHAP attribution and language-model reasoning. The framework explores interpretable fault-type diagnosis, mechanism-based explanations and maintenance recommendations beyond binary anomaly classification.
Version: v1