Intelligent maintenance model for battery energy storage system
Keywords: fault diagnosis method，LLM
Abstract: Battery thermal runaway has short evolution time and strong destructiveness. This project focuses on early battery fault diagnosis and early warning. This project mainly constructs a large battery fault early warning model based on methods such as statistical analysis, machine learning, data-driven models, and expert knowledge rules to help solve the safety problem of battery energy storage systems.
Submission Number: 33
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