Service capability evaluation of electric vehicle charging and battery swapping stations: A game theory-based combination weighting method

IF 1.6 Q4 ENERGY & FUELS
Chuanshen Wu, Qianyun Shi, Shan Gao, Yan Wang
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引用次数: 0

Abstract

The rapid development of electric vehicles (EVs) has made the construction and service capability evaluation of EV charging and battery swapping stations (CBSSs) more important. A comprehensive evaluation indicator system for the service capability evaluation of EV-CBSSs is established, meticulously outlining the critical aspects of operational efficiency, economy, convenience, and reliability, each with multiple indicators for thorough assessment. To address the shortcomings of individual evaluation methods in evaluating the service capability of EV-CBSSs, the game theory-based combination weighting (GTCW) method is adopted, which integrates the advantages of the analytic hierarchy process method, entropy weight method, and grey relation analysis method. Specifically, the weights for each indicator are obtained separately using these three evaluation methods, and then combined using the GTCW method to calculate the final weights. In case studies, the service capability for each EV-CBSS is calculated and compared between these three individual methods and the proposed GTCW method. Simulation results validate that the proposed evaluation indicator system and GTCW method can offer a more comprehensive evaluation of the service capability for EV-CBSSs, providing guiding suggestions for future construction plans.

Abstract Image

电动汽车充电换电池站服务能力评价:基于博弈论的组合加权方法
随着电动汽车的快速发展,电动汽车充电换电池站的建设和服务能力评价显得尤为重要。建立ev - cbss服务能力综合评价指标体系,从运行效率、经济性、便捷性和可靠性四个关键方面进行了细致的梳理,每个方面都有多个指标进行深入评估。针对个体评价方法在评价ev - cbss服务能力方面存在的不足,采用了基于博弈论的组合加权(GTCW)方法,该方法综合了层次分析法、熵权法和灰色关联分析法的优点。具体而言,利用这三种评价方法分别获得各指标的权重,然后利用GTCW法结合计算最终权重。在实例研究中,计算了每个EV-CBSS的服务能力,并将这三种单独的方法与所提出的GTCW方法进行了比较。仿真结果验证了所提出的评价指标体系和GTCW方法能够较为全面地评价ev - cbss的服务能力,为今后的建设规划提供指导性建议。
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来源期刊
IET Energy Systems Integration
IET Energy Systems Integration Engineering-Engineering (miscellaneous)
CiteScore
5.90
自引率
8.30%
发文量
29
审稿时长
11 weeks
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