Knowledge graph construction method for fault diagnosis analysis of lithium ion battery of energy storage station

Abstract

The application discloses a kind of knowledge graph construction methods for energy storage station lithium ion battery fault diagnosis analysis, this method fills the blank of scale level energy storage lithium battery fault diagnosis and disposal plan basic data;By extracting the fault characteristics of the fault data, the ontology class and inter-class relationship of the knowledge graph are defined, the structured data extraction method has good scalability and self-adaptive ability, which can meet the knowledge extraction needs of multi-source heterogeneous data;The multi-source heterogeneous information data of energy storage station can be fused, and finally the knowledge graph of energy storage station lithium ion battery fault diagnosis analysis is formed;Based on knowledge graph, the potential relationship between working parameters and faults can be found, and then a knowledge system is formed, so that the energy storage station lithium battery fault is quickly diagnosed and accurately responded.

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