Abstract:

Aiming at the problem of high failure rate of charging pile,taking DC charging facilities as the research object,the working principle and influencing factors of operation safety are analyzed. Based on the principal component analysis (PCA) algorithm of data mining,the characteristics of charging facilities operation data such as voltage,current and temperature are mined.The integrated fault tree of charging facilities is established,whose top events are instrument failure,mechanical failure and communication fault.And the internal relationship between fault sources of each layer and specific fault types are analyzed.Using the operation data of charging facilities in Jiangsu Province from March to April 2021,the practicability of the proposed data mining method for the analysis of fault characteristics of charging facilities is verified.

Key words: charging facilities, data mining, principal component analysis, fault tree