吉林大学学报（信息科学版）2026，Vol.44Issue(3)：513-522,10.
基于正态分布云模型的充电设备状态评估方法
Condition Assessment Method of Charging Equipment Based on Normal Distribution Cloud Model
摘要
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.关键词
健康状态评估/层次分析法/指标相关性权重法/正态分布云模型Key words
health assessment/analytic hierarchy process(AHP)/criteria importance through intercriteria correlation(CRITIC)/normal distribution cloud model分类
信息技术与安全科学引用本文复制引用
吴丹,盛方正,雷珽,杜佳玮,徐杰,刘昭慧..基于正态分布云模型的充电设备状态评估方法[J].吉林大学学报（信息科学版）,2026,44(3):513-522,10.基金项目
国网上海市电力公司科技基金资助项目(SGSH0000YXJS2400437) （SGSH0000YXJS2400437）
