Modeling study demonstrates real-time fault diagnosis for electric vehicle charging equipment using fuzzy mathematics, highlighting enhanced operational safety.
This paper probes into the new energy automobile charging equipment fault diagnosis problem. Fuzzy fault tree theory is introduced as a solution, fuzzy mathematics is used to improve the accuracy of fault diagnosis, the fault diagnosis model of charging equipment is established, and the fault diagnosis system based on Internet of things technology is designed, including equipment layer, communication layer, server and client. The system aims to realize the real-time monitoring and processing of the fault of new energy vehicle charging facilities, improve the user experience and improve the safety index.
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Wenqing Li (2024) studied this question.
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