Journal of Jilin University (Information Science Edition) ›› 2026, Vol. 44 ›› Issue (3): 513-522.

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Condition Assessment Method of Charging Equipment Based on Normal Distribution Cloud Model

WU Dan1, SHENG Fangzheng1, LEI Ting1, DU Jiawei1, XU Jie1, LIU Zhaohui2   

  1. 1. Smart Power Consumption Division, State Grid Shanghai Municipal Electric Power Company, Shanghai 200120, China; 2. Power Consumption Technology Branch Company, NANRUI-Technology Nanjing Control Systems Limited Company, Nanjing 211106, China
  • Received:2025-04-12 Online:2026-06-02 Published:2026-06-02

Abstract: To accurately assess the health status of charging station equipment and effectively predict the operational trends of the equipment, a health status assessment method for charging equipment is proposed. Firstly, by analyzing the technical and functional characteristics of charging piles, a comprehensive health status assessment system is constructed. Secondly, the AHP(Analytic Hierarchy Process) is used to calculate the subjective weights, and CRITIC(Criteria Importance Through Intercriteria Correlation) is adopted to calculate the objective weights. Based on the theory of cooperative game, the subjective and objective weights are linearly combined into a comprehensive weight. The normal distribution cloud model is introduced as the membership function of the assessment model. By calculating the membership function values of each index, the membership matrices corresponding to different health status levels are constructed. Finally, the real-time operation data of a certain charging equipment is analyzed to verify the feasibility of the assessment model.

Key words: health assessment, analytic hierarchy process(AHP), criteria importance through intercriteria correlation(CRITIC), normal distribution cloud model

CLC Number: 

  • TP3