Lin Sang, Xuling Li, Xianjing Tong, Wei Zhang, Jiande Ye
{"title":"Index System Based on Fault Tree Correction Weight for DC Charging Piles","authors":"Lin Sang, Xuling Li, Xianjing Tong, Wei Zhang, Jiande Ye","doi":"10.1109/APET56294.2022.10072587","DOIUrl":null,"url":null,"abstract":"In order to evaluate charging piles rapidly and accurately, a DC charging pile evaluation index system based on fault tree correction index weight is proposed. Firstly, the key indices of DC charging piles are sorted out and formed into an index system, and the index weights are determined by using interval hierarchy analysis. Then, a fault tree is established based on the historical fault information of DC charging piles in actual use, and the fault weights are determined by the gray correlation method. After using the fault weights to amend the original index weights, the size and ranking of the weights are changed. The indices with high failure probability are more critical in charging pile testing, which results in more weight for those indices. Meanwhile, the indices with smaller weight are further reduced according to the weight ranking. Finally, a new index system is formed, which realizes the rapid and accurate evaluation of DC charging piles.","PeriodicalId":201727,"journal":{"name":"2022 Asia Power and Electrical Technology Conference (APET)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 Asia Power and Electrical Technology Conference (APET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APET56294.2022.10072587","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In order to evaluate charging piles rapidly and accurately, a DC charging pile evaluation index system based on fault tree correction index weight is proposed. Firstly, the key indices of DC charging piles are sorted out and formed into an index system, and the index weights are determined by using interval hierarchy analysis. Then, a fault tree is established based on the historical fault information of DC charging piles in actual use, and the fault weights are determined by the gray correlation method. After using the fault weights to amend the original index weights, the size and ranking of the weights are changed. The indices with high failure probability are more critical in charging pile testing, which results in more weight for those indices. Meanwhile, the indices with smaller weight are further reduced according to the weight ranking. Finally, a new index system is formed, which realizes the rapid and accurate evaluation of DC charging piles.