VBFDD-Agent transforms battery signals into descriptive texts and combines them with LLM reasoning and retrieval to provide interpretable fault diagnosis and maintenance suggestions for EV batteries.
Model-based battery thermal fault di- agnostics: Algorithms, analysis, and experiments.IEEE Transactions on Control Systems Technology, 27(2):576–587
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VBFDD-Agent for Electric Vehicle Battery Fault Detection and Diagnosis: Descriptive Text Modeling of Battery Digital Signals
VBFDD-Agent transforms battery signals into descriptive texts and combines them with LLM reasoning and retrieval to provide interpretable fault diagnosis and maintenance suggestions for EV batteries.