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Economics of Battery Swapping for Electric Vehicles—Simulation-Based Analysis

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  • Yongzhong Wu

    (School of Business Administration, South China University of Technology, Guangzhou 510641, China)

  • Siyi Zhuge

    (School of Business Administration, South China University of Technology, Guangzhou 510641, China)

  • Guoxin Han

    (School of Business Administration, South China University of Technology, Guangzhou 510641, China)

  • Wei Xie

    (School of Business Administration, South China University of Technology, Guangzhou 510641, China)

Abstract

As electric vehicles have become increasingly popular in recent years, battery swapping technology has been promoted as an alternative to the time-consuming battery charging process. Nevertheless, battery swapping is held back by the trade-off between the additional battery investment and the short service time for users. In this paper, we developed simulation models to analyze the economics of battery swapping systems. In particular, we collected real data from eight battery swapping stations Guangzhou, China for the analysis. The results show that the service levels of the stations are reduced significantly as the number of users increases. On the other hand, economies of scale exists when implementing the battery swapping system. As the number of users increases, to maintain the same level of service level, the cost of the batteries shared by each user decreases. The analysis also suggests that, given the scale of potential users for an area, the marginal utility of increasing the number of stations will diminish. Finally, to maximize the utility and economic return of the service, we identified that there is a trade-off between the number of stations and the amount of batteries equipped in each station.

Suggested Citation

  • Yongzhong Wu & Siyi Zhuge & Guoxin Han & Wei Xie, 2022. "Economics of Battery Swapping for Electric Vehicles—Simulation-Based Analysis," Energies, MDPI, vol. 15(5), pages 1-18, February.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:5:p:1714-:d:758189
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    References listed on IDEAS

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    1. Shen, Zuo-Jun Max & Feng, Bo & Mao, Chao & Ran, Lun, 2019. "Optimization models for electric vehicle service operations: A literature review," Transportation Research Part B: Methodological, Elsevier, vol. 128(C), pages 462-477.
    2. Yanni Liang & Xingping Zhang & Jian Xie & Wenfeng Liu, 2017. "An Optimal Operation Model and Ordered Charging/Discharging Strategy for Battery Swapping Stations," Sustainability, MDPI, vol. 9(5), pages 1-18, April.
    3. Amiri, Saeed Salimi & Jadid, Shahram & Saboori, Hedayat, 2018. "Multi-objective optimum charging management of electric vehicles through battery swapping stations," Energy, Elsevier, vol. 165(PB), pages 549-562.
    4. Noel, Lance & Sovacool, Benjamin K., 2016. "Why Did Better Place Fail?: Range anxiety, interpretive flexibility, and electric vehicle promotion in Denmark and Israel," Energy Policy, Elsevier, vol. 94(C), pages 377-386.
    5. Sovacool, Benjamin K. & Noel, Lance & Orsato, Renato J., 2017. "Stretching, embeddedness, and scripts in a sociotechnical transition: Explaining the failure of electric mobility at Better Place (2007–2013)," Technological Forecasting and Social Change, Elsevier, vol. 123(C), pages 24-34.
    6. Wang, Hua & Zhao, De & Meng, Qiang & Ong, Ghim Ping & Lee, Der-Horng, 2019. "A four-step method for electric-vehicle charging facility deployment in a dense city: An empirical study in Singapore," Transportation Research Part A: Policy and Practice, Elsevier, vol. 119(C), pages 224-237.
    7. M.S. Indira, 2021. "Optimised business model for effective charging of batteries in electric vehicles," International Journal of Business and Globalisation, Inderscience Enterprises Ltd, vol. 27(3), pages 424-437.
    8. Neil Stephen Lopez & Adrian Allana & Jose Bienvenido Manuel Biona, 2021. "Modeling Electric Vehicle Charging Demand with the Effect of Increasing EVSEs: A Discrete Event Simulation-Based Model," Energies, MDPI, vol. 14(13), pages 1-15, June.
    9. Asadi, Amin & Nurre Pinkley, Sarah, 2021. "A stochastic scheduling, allocation, and inventory replenishment problem for battery swap stations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 146(C).
    10. Sujie Shao & Shaoyong Guo & Xuesong Qiu, 2017. "A Mobile Battery Swapping Service for Electric Vehicles Based on a Battery Swapping Van," Energies, MDPI, vol. 10(10), pages 1-21, October.
    11. Mahoor, Mohsen & Hosseini, Zohreh S. & Khodaei, Amin, 2019. "Least-cost operation of a battery swapping station with random customer requests," Energy, Elsevier, vol. 172(C), pages 913-921.
    12. Sun, Bo & Sun, Xu & Tsang, Danny H.K. & Whitt, Ward, 2019. "Optimal battery purchasing and charging strategy at electric vehicle battery swap stations," European Journal of Operational Research, Elsevier, vol. 279(2), pages 524-539.
    13. Zhang, Jie & Bai, Lihui & Jin, Tongdan, 2021. "Joint planning for battery swap and supercharging networks with priority service queues," International Journal of Production Economics, Elsevier, vol. 233(C).
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