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Optimal Design for a Shared Swap Charging System Considering the Electric Vehicle Battery Charging Rate

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  • Lingshu Zhong

    (Department of Electric Power, South China University of Technology, Guangzhou 510641, China)

  • Mingyang Pei

    (Department of Civil and Transportation Engineering, South China University of Technology, Guangzhou 510641, China
    Department of Civil and Environmental Engineering, University of South Florida, Tampa, FL 33620, USA)

Abstract

Swap charging (SC) technology offers the possibility of swapping the batteries of electric vehicles (EVs), providing a perfect solution for achieving a long-distance freeway trip. Based on SC technology, a shared SC system (SSCS) concept is proposed to overcome the difficulties in optimal swap battery strategies for a large number of EVs with charging requests and to consider the variance in the battery charging rate simultaneously. To realize the optimal SSCS design, a binary integer programming model is developed to balance the tradeoff between the detour travel cost and the total battery recharge cost in the SSCS. The proposed method is verified with a numerical example of the freeway system in Guangdong Province, China, and can obtain an exact solution using off-the-shelf commercial solvers (e.g., Gurobi).

Suggested Citation

  • Lingshu Zhong & Mingyang Pei, 2020. "Optimal Design for a Shared Swap Charging System Considering the Electric Vehicle Battery Charging Rate," Energies, MDPI, vol. 13(5), pages 1-16, March.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:5:p:1213-:d:329157
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    Cited by:

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    2. Cui, Dingsong & Wang, Zhenpo & Liu, Peng & Wang, Shuo & Dorrell, David G. & Li, Xiaohui & Zhan, Weipeng, 2023. "Operation optimization approaches of electric vehicle battery swapping and charging station: A literature review," Energy, Elsevier, vol. 263(PE).
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    5. A.S.M. Mominul Hasan, 2020. "Electric Rickshaw Charging Stations as Distributed Energy Storages for Integrating Intermittent Renewable Energy Sources: A Case of Bangladesh," Energies, MDPI, vol. 13(22), pages 1-28, November.

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