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作 者:郭正宾 李奇 王玉乐 王蕾 马珩博 GUO Zhengbin;LI Qi;WANG Yule;WANG Lei;MA Hengbo(Henan Jiuyu Tenglong Information Engineering Co.,Ltd.,Zhengzhou 450000,China;Henan University Software College,Kaifeng 475000,China;Henan Intelligent Data Processing Engineering Research Center,Kaifeng 475000,China)
机构地区:[1]河南九域腾龙信息工程有限公司,河南郑州450000 [2]河南大学软件学院,河南开封475000 [3]河南省智能数据处理工程研究中心,河南开封475000
出 处:《电工技术》2024年第24期143-146,162,共5页Electric Engineering
摘 要:针对充电站运营中维护成本不断攀升、使用效率低下以及设备缺陷难以及时检测的问题,基于熵权法和TOPSIS算法提出了充电桩健康评估模型,旨在全面评估充电站的运行状况及设备健康情况,并以科学的方式确定各项指标的权重和评估参数,确保评估结果的客观性和可靠性。此外,还建立了一个全面的分级充电站健康评估系统,兼顾性能和可靠性两大关键因素。实践证明,该模型有一定研究意义和实用价值。In response to the problems of rising maintenance costs,low use efficiency and difficult timely detection of equipment defects in the operation of charging stations,this paper proposes a charging pile health assessment model based on entropy weight method and TOPSIS algorithm,aiming to comprehensively evaluate the operating status of charging stations and equipment health,and determine the weights and evaluation parameters of various indicators in a scientific way.It ensures the objectivity and reliability of the evaluation results.In addition,this paper also establishes a comprehensive health evaluation system for tiered charging stations,taking into account two key factors:performance and reliability.Practice has proved that the model has certain research significance and practical value.
关 键 词:充电桩 健康评估 大数据 层次分析法 熵权法 TOPSIS
分 类 号:TM910.6[电气工程—电力电子与电力传动]
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