Energy Efficiency Evaluation of EV Charging Network Based on Fuzzy Comprehensive Assessment

被引:0
|
作者
Fan, Yubo [1 ]
Guo, Chunlin [1 ]
Chen, Wen [1 ]
Li, Zongfeng [1 ]
机构
[1] North China Elect Power Univ, State Key Lab Alternate Elect Power Syst Renewabl, Beijing, Peoples R China
关键词
component; electric vehicle; energy efficiency; fuzzy comprehensive assessment; G1; group;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
People began to focus on the energy efficiency of EV charging facilities with the rapid development of EV. The energy efficiency evaluation of EV charging network requires a comprehensive reflection of the entire and all aspects of the network. This paper aims to propose a method and a model of energy efficiency evaluation. Firstly EV efficiency factors were analyzed, which were conducted hierarchical classification, and then to calculate factor weights using the G1 group method. Finally energy efficiency evaluation model was established by the analysis of factor set, evaluation set, weighting factor based on fuzzy comprehensive evaluation principle. Simulation results show that the result of energy efficiency evaluation by this model not only contained the retail network energy efficiency, but also reflected the various aspects of the network. The model reflected energy efficiency of the whole network meticulously and roundly, which has a strong practical value.
引用
收藏
页码:360 / 363
页数:4
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