IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i5p1714-d758189.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/5/1714/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/15/5/1714/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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).
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    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).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Katarzyna Sobiech-Grabka & Anna Stankowska & Krzysztof Jerzak, 2022. "Determinants of Electric Cars Purchase Intention in Poland: Personal Attitudes v. Economic Arguments," Energies, MDPI, vol. 15(9), pages 1-26, April.
    2. Walied Alharbi, 2023. "Assessment of Distribution System Margins Considering Battery Swapping Stations," Sustainability, MDPI, vol. 15(8), pages 1-13, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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).
    2. Yu Feng & Xiaochun Lu, 2021. "Construction Planning and Operation of Battery Swapping Stations for Electric Vehicles: A Literature Review," Energies, MDPI, vol. 14(24), pages 1-19, December.
    3. Zhan, Weipeng & Wang, Zhenpo & Zhang, Lei & Liu, Peng & Cui, Dingsong & Dorrell, David G., 2022. "A review of siting, sizing, optimal scheduling, and cost-benefit analysis for battery swapping stations," Energy, Elsevier, vol. 258(C).
    4. Hu, Xu & Yang, Zhaojun & Sun, Jun & Zhang, Yali, 2023. "Optimal pricing strategy for electric vehicle battery swapping: Pay-per-swap or subscription?," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 171(C).
    5. Liang, Yanni & Cai, Hua & Zou, Guilin, 2021. "Configuration and system operation for battery swapping stations in Beijing," Energy, Elsevier, vol. 214(C).
    6. Guohao Li & Tao Wang, 2022. "Long-Term Leases vs. One-Off Purchases: Game Analysis on Battery Swapping Mode Considering Cascade Utilization and Power Structure," Sustainability, MDPI, vol. 14(24), pages 1-28, December.
    7. Nayak, Dhyaan Sandeep & Misra, Shamik, 2024. "An operational scheduling framework for Electric Vehicle Battery Swapping Station under demand uncertainty," Energy, Elsevier, vol. 290(C).
    8. Zhang, Mingze & Li, Weidong & Yu, Samson Shenglong & Wen, Kerui & Zhou, Chen & Shi, Peng, 2021. "A unified configurational optimization framework for battery swapping and charging stations considering electric vehicle uncertainty," Energy, Elsevier, vol. 218(C).
    9. Han, Jin & Zhou, Haibo & Löwik, Sandor & de Weerd-Nederhof, Petra, 2022. "Building and sustaining emerging ecosystems through new focal ventures: Evidence from China's bike-sharing industry," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    10. Fescioglu-Unver, Nilgun & Yıldız Aktaş, Melike, 2023. "Electric vehicle charging service operations: A review of machine learning applications for infrastructure planning, control, pricing and routing," Renewable and Sustainable Energy Reviews, Elsevier, vol. 188(C).
    11. Wang, Mengtong & Miao, Lixin & Zhang, Canrong, 2021. "A branch-and-price algorithm for a green location routing problem with multi-type charging infrastructure," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 156(C).
    12. Yang, Jie & Liu, Wei & Ma, Kai & Yue, Zhiyuan & Zhu, Anhu & Guo, Shiliang, 2023. "An optimal battery allocation model for battery swapping station of electric vehicles," Energy, Elsevier, vol. 272(C).
    13. Lai, Zhijie & Li, Sen, 2024. "Towards a multimodal charging network: Joint planning of charging stations and battery swapping stations for electrified ride-hailing fleets," Transportation Research Part B: Methodological, Elsevier, vol. 183(C).
    14. Fawad Azeem & Bakhtawar Irshad & Hasan A. Zidan & Ghous Bakhsh Narejo & Muhammad Imtiaz Hussain & Tareq Manzoor, 2023. "Design and Analysis of a Peak Time Estimation Framework for Vehicle Occurrences at Solar Photovoltaic and Grid-Based Battery-Swappable Charging Stations," Sustainability, MDPI, vol. 15(23), pages 1-16, November.
    15. Huibing Cheng & Shanshui Zheng, 2022. "Incentive Compensation Mechanism for the Infrastructure Construction of Electric Vehicle Battery Swapping Station under Asymmetric Information," Sustainability, MDPI, vol. 14(12), pages 1-18, June.
    16. Bai, Qingguo & Chen, Jiguang & Xu, Jianteng, 2023. "Energy conservation investment and supply chain structure under cap-and-trade regulation for a green product," Omega, Elsevier, vol. 119(C).
    17. Wang, Yang & Lai, Kexing & Chen, Fengyun & Li, Zhengming & Hu, Chunhua, 2019. "Shadow price based co-ordination methods of microgrids and battery swapping stations," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    18. 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.
    19. Walied Alharbi, 2023. "Assessment of Distribution System Margins Considering Battery Swapping Stations," Sustainability, MDPI, vol. 15(8), pages 1-13, April.
    20. He, Sylvia Y. & Kuo, Yong-Hong & Sun, Ka Kit, 2022. "The spatial planning of public electric vehicle charging infrastructure in a high-density city using a contextualised location-allocation model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 160(C), pages 21-44.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:15:y:2022:i:5:p:1714-:d:758189. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.