VBFDD-Agent for Electric Vehicle Battery Fault Detection and Diagnosis: Descriptive Text Modeling of Battery Digital Signals
Researchers have developed VBFDD-Agent, an AI system designed to improve fault detection and diagnosis for electric vehicle batteries. This agent transforms raw battery data into natural language descriptions, creating a corpus for better understanding and maintenance. By integrating this corpus with maintenance manuals and LLM reasoning, VBFDD-Agent provides structured diagnostic results and actionable recommendations, enhancing safety and reliability. AI
IMPACT Enhances EV battery safety and maintenance through AI-driven text analysis and decision support.