Volume 9 Number 5 (May 2014)
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JCP 2014 Vol.9(5): 1185-1192 ISSN: 1796-203X
doi: 10.4304/jcp.9.5.1185-1192

A Fuzzy Evaluation and AHP based Method for the Energy Efficiency Evaluation of EV Charging Station

Hanwu Luo1, Jiangjun Ruan2 and Fang Li2
1School of Electrical Engineering, Wuhan University, Wuhan, China
2Henan Electric Power Company, Songshan South Road, Zhengzhou, China


Abstract—To promote the development of electric vehicles (EVs), many charging stations have been built. The construction of charging stations costs a lot, hence it’s necessary to evaluate their energy efficiency due to their main aims of energy conservation. In this paper, a fuzzy model based on the fuzzy comprehensive evaluation (FCE) and analytic hierarchy process (AHP) is presented to evaluate the energy efficiency of charging station. Firstly the evaluation system for the charging station is set up according to AHP and expert surveys, and the evaluation indices are determined by the Argument Delphi method. Then the method to establish the judgment matrix is described, and 7 judgment matrices are established. The process to calculate the weights of all indices in the evaluation system is formulated based on AHP, including the weights for the criterions in the second layer and indices in the third layer. Finally the energy efficiency evaluation on the charging station is conducted according to FCE. The energy efficiency of a charging station in Chongqing was evaluated, and results indicate that the fuzzy model in this paper is effective for the energy evaluation of charging station.

Index Terms—energy efficiency evaluation, charging station, analytic hierarchy process, fuzzy comprehensive evaluation, evaluation indices

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Cite: Hanwu Luo, Jiangjun Ruan and Fang Li, "A Fuzzy Evaluation and AHP based Method for the Energy Efficiency Evaluation of EV Charging Station," Journal of Computers vol. 9, no. 5, pp. 1185-1192, 2014.

General Information

ISSN: 1796-203X
Abbreviated Title: J.Comput.
Frequency: Bimonthly
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO,  ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat,etc
E-mail: jcp@iap.org
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