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Study on Vehicle Supply Chain Operation Mode Selection Based on Battery Leasing and Battery Swapping Services

Author

Listed:
  • Kaifu Yuan

    (School of Business Administration, Guizhou University of Finance and Economics, Guiyang 550025, China)

  • Chao Li

    (School of Business Administration, Guizhou University of Finance and Economics, Guiyang 550025, China)

  • Guangqiang Wu

    (School of Business Administration, Guizhou University of Finance and Economics, Guiyang 550025, China)

Abstract

Considering the impact of the battery leasing service and battery swapping service on the vehicle supply chain operation mode, a vehicle supply chain with a vehicle manufacturer and a battery asset company is investigated. Decision models are formulated in three cases: (a) both battery leasing and battery swapping services are provided by the vehicle manufacturer; (b) both services are provided by the battery asset company; (c) the battery swapping service is provided by the vehicle manufacturer and the battery leasing service by the battery asset company. The optimal decisions for the vehicle manufacturer and the battery asset company in the three cases are derived and compared. The results show that: (1) When the battery leasing increasing time cost coefficient is smaller, it is advisable for the vehicle manufacturer to provide both services; otherwise, the vehicle manufacturer should only provide the battery swapping service. (2) The battery asset company should actively provide-the battery swapping service, since the provision of the battery swapping service can increase its profit. (3) The mode of the vehicle manufacturer providing both services is optimal for the supply chain. (4) When the battery asset company provides battery leasing service, the vehicle manufacturer can “free ride” to enjoy the benefits of the battery asset company extending battery leasing time. (5) With the high cost of new energy vehicles (NEVs) limiting their development in China, extending the battery leasing increasing time is an effective measure to facilitate the diffusion of new energy vehicles (NEVs).

Suggested Citation

  • Kaifu Yuan & Chao Li & Guangqiang Wu, 2023. "Study on Vehicle Supply Chain Operation Mode Selection Based on Battery Leasing and Battery Swapping Services," Mathematics, MDPI, vol. 11(14), pages 1-21, July.
  • Handle: RePEc:gam:jmathe:v:11:y:2023:i:14:p:3119-:d:1194393
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    References listed on IDEAS

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    1. Vallera, A.M. & Nunes, P.M. & Brito, M.C., 2021. "Why we need battery swapping technology," Energy Policy, Elsevier, vol. 157(C).
    2. Yang, Jun & Guo, Fang & Zhang, Min, 2017. "Optimal planning of swapping/charging station network with customer satisfaction," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 103(C), pages 174-197.
    3. Patyal, Vishal Singh & Kumar, Ravi & Kushwah, Shiksha, 2021. "Modeling barriers to the adoption of electric vehicles: An Indian perspective," Energy, Elsevier, vol. 237(C).
    4. Jean-Charles Rochet & Jean Tirole, 2003. "Platform Competition in Two-Sided Markets," Journal of the European Economic Association, MIT Press, vol. 1(4), pages 990-1029, June.
    5. Liang, Yanni & Zhang, Xingping, 2018. "Battery swap pricing and charging strategy for electric taxis in China," Energy, Elsevier, vol. 147(C), pages 561-577.
    6. Xingping Zhang & Rao Rao, 2016. "A Benefit Analysis of Electric Vehicle Battery Swapping and Leasing Modes in China," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 52(6), pages 1414-1426, June.
    7. Michael K. Lim & Ho-Yin Mak & Ying Rong, 2015. "Toward Mass Adoption of Electric Vehicles: Impact of the Range and Resale Anxieties," Manufacturing & Service Operations Management, INFORMS, vol. 17(1), pages 101-119, February.
    8. Buket Avci & Karan Girotra & Serguei Netessine, 2015. "Electric Vehicles with a Battery Switching Station: Adoption and Environmental Impact," Management Science, INFORMS, vol. 61(4), pages 772-794, April.
    9. Huang, Youlin & Qian, Lixian & Soopramanien, Didier & Tyfield, David, 2021. "Buy, lease, or share? Consumer preferences for innovative business models in the market for electric vehicles," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    10. Li, Zhe & Ouyang, Minggao, 2011. "A win-win marginal rent analysis for operator and consumer under battery leasing mode in China electric vehicle market," Energy Policy, Elsevier, vol. 39(6), pages 3222-3237, June.
    11. Sun, Hao & Yang, Jun & Yang, Chao, 2019. "A robust optimization approach to multi-interval location-inventory and recharging planning for electric vehicles," Omega, Elsevier, vol. 86(C), pages 59-75.
    12. Liang, Yanni & Cai, Hua & Zou, Guilin, 2021. "Configuration and system operation for battery swapping stations in Beijing," Energy, Elsevier, vol. 214(C).
    13. Yang, Shengjie & Yao, Jiangang & Kang, Tong & Zhu, Xiangqian, 2014. "Dynamic operation model of the battery swapping station for EV (electric vehicle) in electricity market," Energy, Elsevier, vol. 65(C), pages 544-549.
    14. Yoo, Seung Ho & Choi, Thomas Y. & Sheu, Jiuh-Biing, 2021. "Electric vehicles and product–service platforms: Now and in future," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 149(C).
    15. 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).
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