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

Wu, Chuanshen, Shi, Qianyun, Gao, Shan and Wang, Yan 2024. Service capability evaluation of electric vehicle charging and battery swapping stations: A game theory‐based combination weighting method. IET Energy Systems Integration 10.1049/esi2.12155

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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.

Item Type:	Article
Date Type:	Published Online
Status:	In Press
Schools:	Engineering
Additional Information:	License information from Publisher: LICENSE 1: URL: http://creativecommons.org/licenses/by/4.0/
Publisher:	Wiley Open Access
ISSN:	2516-8401
Date of First Compliant Deposit:	1 July 2024
Date of Acceptance:	10 June 2024
Last Modified:	01 Jul 2024 09:17
URI:	https://orca.cardiff.ac.uk/id/eprint/170182

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