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.
Lithium-ion bat- tery storage for the grid—a review of stationary battery storage system design tailored for applications in modern power grids.Energies, 10(12):2107, 2017
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.AI 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.