Research papers · Posted 2026.05.20 · Preprint

VBFDD-Agent for Electric Vehicle Battery Fault Detection and Diagnosis: Descriptive Text Modeling of Battery Digital Signals

Joey Chan, Zhen Chen, Ershun Pan · arXiv · English

Overview

VBFDD-Agent converts battery signals and anomaly records into descriptive text, then combines case retrieval, maintenance manuals and language-model reasoning. The study explores interpretable electric-vehicle fault diagnosis and maintenance-oriented recommendations.

Version: v1

VBFDD-Agent for Electric Vehicle Battery Fault Detection and Diagnosis: Descriptive Text Modeling of Battery Digital Signals

Overview

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VBFDD-Agent for Electric Vehicle Battery Fault Detection and Diagnosis: Descriptive Text Modeling of Battery Digital Signals

Overview

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