中文核心期刊
CSCD来源期刊
中国科技核心期刊
RCCSE中国核心学术期刊

Journal of Chongqing Jiaotong University(Natural Science) ›› 2018, Vol. 37 ›› Issue (06): 121-126.DOI: 10.3969/j.issn.1674-0696.2018.06.20

• Vehicle &Electromechanical Engineering • Previous Articles    

Research on Site Selection of Electric Vehicle Charging Stations Using Analytical Hierarchy Process

REN Qiliang,WU Lixia,JIN Xugang,SU Lixiao   

  1. (School of Traffic & Transportation,Chongqing Jiaotong University,Chongqing 400074,P.R.China)
  • Received:2017-02-05 Revised:2017-07-12 Online:2018-06-12 Published:2018-06-12

电动汽车充电站分层递进式选址方法研究

任其亮,吴丽霞,靳旭刚,苏莉晓   

  1. (重庆交通大学 交通运输学院,重庆 400074)
  • 作者简介:任其亮(1978—),男,山东莱芜人,教授,博士后,主要从事交通规划、交通安全及智能交通方面的研究。E-mail:cqrql@126.com。 通信作者:吴丽霞(1991—),女,安徽宿州人,硕士研究生,主要从事交通规划、交通安全及智能交通方面的研究。E-mail:569085986@qq.com。
  • 基金资助:
    国家社会科学基金西部项目(16XJY013)

Abstract: The conditions of site selection of electric vehicle charging stations were defined using 6 factors,including,but not limited to,environment,electric power,planning,and land,the technical process of the preliminary site selection of charging station was given based on the entropy weight fuzzy matter element method.The precise location model of charging stations with the lowest total construction cost was established and genetic algorithm model of precise location was designed.Finally,the rationality and feasibility of the hierarchical progressive charging station location method was tested and verified by selecting 20 charging demand points generated randomly and 8 alternative sites within a 40*40 plane.

Key words: urban traffic, electric vehicle, charging station location, hierarchical progressive , entropy weight fuzzy matter element, the minimize of the construction cost, genetic algorithm

摘要: 从交通、环境、电力、规划、土地等6个方面界定了电动汽车充电站的选址条件,给出了基于熵权模糊物元法的充电站初步选址的技术流程,然后在初步选址的基础上建立了充电站总建设成本最低的精确选址模型,设计了精确选址模型的遗传求解算法。选取40×40平面内随机产生20个充电需求点和8个备选站点的案例,验证了电动汽车充电站分层递进式选址方法的科学性和可行性。

关键词: 城市交通, 电动汽车, 充电站选址, 分层递进式, 熵权模糊物元, 建设成本最小化, 遗传算法

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