IDEAS home Printed from https://ideas.repec.org/a/eee/transe/v206y2026ics1366554525005721.html

Innovative business model for private charging pile sharing operation and its vehicle-to-grid energy management

Author

Listed:
  • Yao, Zhaosheng
  • Ren, Xinyue
  • Chan, Wai Kin (Victor)
  • Jia, Fengwei
  • Zhu, Hongli
  • Xu, Yinliang
  • Wu, Qiuwei

Abstract

The optimization of private charging pile sharing mode operation and the intelligent interaction between electric vehicles and the energy system are crucial. Its social benefits include improving resource utilization and complementing existing charging networks. However, several practical challenges constrain the efficient operation of this innovative business model, namely the private charging pile sharing mode. This paper focuses on the operation of private charging pile sharing mode and its vehicle-to-grid energy management, which encompasses multiple dimensions of the characteristics of innovative business models, the integration of emerging technologies and the complex interactions. Moreover, this paper constructs a multi-objective optimization model that incorporates key elements of uncertain information, decarbonization management, and demand response strategies, and analyzes their potential impacts. Meanwhile, intelligent dispatching and matching mechanisms are used to improve the utilization of private charging resources, balance supply and demand, and effectively manage energy flows. The numerical analysis using real data demonstrates the feasibility and potential of the operational optimization of innovative business models, and verifies the enhancement of multiple economic and environmental gains, such as alleviating the shortage of public charging facilities, reducing charging costs, and improving decarbonization management capabilities.

Suggested Citation

  • Yao, Zhaosheng & Ren, Xinyue & Chan, Wai Kin (Victor) & Jia, Fengwei & Zhu, Hongli & Xu, Yinliang & Wu, Qiuwei, 2026. "Innovative business model for private charging pile sharing operation and its vehicle-to-grid energy management," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 206(C).
  • Handle: RePEc:eee:transe:v:206:y:2026:i:c:s1366554525005721
    DOI: 10.1016/j.tre.2025.104544
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1366554525005721
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.tre.2025.104544?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Yash Babar & Gordon Burtch, 2024. "Recharging Retail: Estimating Consumer Demand Spillovers from Electric Vehicle Charging Stations," Manufacturing & Service Operations Management, INFORMS, vol. 26(3), pages 797-813, May.
    2. Yao, Zhaosheng & Ran, Lun & Wang, Zhiyuan & Guo, Xian, 2024. "Integrated management of electric vehicle sharing system operations and Internet of Vehicles energy scheduling," Energy, Elsevier, vol. 309(C).
    3. Wei, Hongqian & Zhang, Youtong & Wang, Yongzhen & Hua, Weiqi & Jing, Rui & Zhou, Yue, 2022. "Planning integrated energy systems coupling V2G as a flexible storage," Energy, Elsevier, vol. 239(PB).
    4. Apostolaki-Iosifidou, Elpiniki & Codani, Paul & Kempton, Willett, 2017. "Measurement of power loss during electric vehicle charging and discharging," Energy, Elsevier, vol. 127(C), pages 730-742.
    5. Dimitris Bertsimas & Melvyn Sim, 2004. "The Price of Robustness," Operations Research, INFORMS, vol. 52(1), pages 35-53, February.
    6. Amin, Amin & Mourshed, Monjur, 2024. "Community stochastic domestic electricity forecasting," Applied Energy, Elsevier, vol. 355(C).
    7. Owen Q. Wu & Şafak Yücel & Yangfang (Helen) Zhou, 2022. "Smart Charging of Electric Vehicles: An Innovative Business Model for Utility Firms," Manufacturing & Service Operations Management, INFORMS, vol. 24(5), pages 2481-2499, September.
    8. Gerald Broneske & David Wozabal, 2017. "How Do Contract Parameters Influence the Economics of Vehicle-to-Grid?," Manufacturing & Service Operations Management, INFORMS, vol. 19(1), pages 150-164, February.
    9. Gerald Broneske & David Wozabal, 2017. "How Do Contract Parameters Influence the Economics of Vehicle-to-Grid?," Manufacturing & Service Operations Management, INFORMS, vol. 19(1), pages 150-164, February.
    10. Wong, Stephen D. PhD & Shaheen, Susan A. PhD & Martin, Elliot PhD & Uyeki, Robert, 2023. "Do Incentives Make a Difference? Understanding Smart Charging Program Adoption for Electric Vehicles," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt98z4b5rr, Institute of Transportation Studies, UC Berkeley.
    11. Cheng He & O. Cem Ozturk & Chris Gu & Pradeep K. Chintagunta, 2023. "Consumer Tax Credits for EVs: Some Quasi-Experimental Evidence on Consumer Demand, Product Substitution, and Carbon Emissions," Management Science, INFORMS, vol. 69(12), pages 7759-7783, December.
    12. Luo, Qingsong & Zhou, Yimin & Hou, Weicheng & Peng, Lei, 2022. "A hierarchical blockchain architecture based V2G market trading system," Applied Energy, Elsevier, vol. 307(C).
    13. Quddus, Md Abdul & Kabli, Mohannad & Marufuzzaman, Mohammad, 2019. "Modeling electric vehicle charging station expansion with an integration of renewable energy and Vehicle-to-Grid sources," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 128(C), pages 251-279.
    14. Axel Parmentier & Rafael Martinelli & Thibaut Vidal, 2023. "Electric Vehicle Fleets: Scalable Route and Recharge Scheduling Through Column Generation," Transportation Science, INFORMS, vol. 57(3), pages 631-646, May.
    15. Liu, Suijie & Cao, Sunliang, 2025. "Development of integrated energy sharing systems between neighboring zero-energy buildings via micro-grid and local electric vehicles with energy trading business models," Applied Energy, Elsevier, vol. 380(C).
    16. Ho-Yin Mak & Runyu Tang, 2024. "Collaborative Vehicle-to-Grid Operations in Frequency Regulation Markets," Manufacturing & Service Operations Management, INFORMS, vol. 26(3), pages 814-833, May.
    17. Fuliang Wu & Yossiri Adulyasak & Jean-François Cordeau, 2024. "Modeling and Solving the Traveling Salesman Problem with Speed Optimization for a Plug-In Hybrid Electric Vehicle," Transportation Science, INFORMS, vol. 58(3), pages 562-577, May.
    18. Srivastava, Abhishek & Kumar, Rajeev Ranjan & Chakraborty, Abhishek & Mateen, Arqum & Narayanamurthy, Gopalakrishnan, 2022. "Design and selection of government policies for electric vehicles adoption: A global perspective," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 161(C).
    19. Yiling Zhang & Mengshi Lu & Siqian Shen, 2021. "On the Values of Vehicle-to-Grid Electricity Selling in Electric Vehicle Sharing," Manufacturing & Service Operations Management, INFORMS, vol. 23(2), pages 488-507, March.
    20. Cai, Zeen & Li, Chuanjia & Mo, Dong & Xu, Shuyang & Chen, Xiqun (Michael) & Lee, Der-Horng, 2024. "Optimizing consolidated shared charging and electric ride-sourcing services," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 184(C).
    21. Wang, Yaxian & Zhao, Zhenli & Baležentis, Tomas, 2023. "Benefit distribution in shared private charging pile projects based on modified Shapley value," Energy, Elsevier, vol. 263(PB).
    22. Schmidt, M. & Schöbel, Anita & Thom, Lisa, 2019. "Min-ordering and max-ordering scalarization methods for multi-objective robust optimization," European Journal of Operational Research, Elsevier, vol. 275(2), pages 446-459.
    23. 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).
    24. Dirk Lauinger & François Vuille & Daniel Kuhn, 2024. "Reliable Frequency Regulation Through Vehicle-to-Grid: Encoding Legislation with Robust Constraints," Manufacturing & Service Operations Management, INFORMS, vol. 26(2), pages 722-738, March.
    25. Lingling Shi & Bin Hu, 2024. "Frontiers in Operations: Battery as a Service: Flexible Electric Vehicle Battery Leasing," Manufacturing & Service Operations Management, INFORMS, vol. 26(4), pages 1269-1285, July.
    26. Han, Xiaojuan & Wei, Zixuan & Hong, Zhenpeng & Zhao, Song, 2020. "Ordered charge control considering the uncertainty of charging load of electric vehicles based on Markov chain," Renewable Energy, Elsevier, vol. 161(C), pages 419-434.
    27. Xu, Fangyuan & Chen, Xujie & Zhang, Miao & Zhou, Ya & Cai, Yanpeng & Zhou, Yang & Tang, Ruixin & Wang, Yifei, 2020. "A sharing economy market system for private EV parking with consideration of demand side management," Energy, Elsevier, vol. 190(C).
    28. Hassanzadeh, Farhad & Nemati, Hamid & Sun, Minghe, 2014. "Robust optimization for interactive multiobjective programming with imprecise information applied to R&D project portfolio selection," European Journal of Operational Research, Elsevier, vol. 238(1), pages 41-53.
    29. Vimal, K.E.K. & Goel, Pooja & Sharma, Nitika & Mathiyazhagan, K. & Luthra, Sunil, 2024. "Where there is a will there is a way: A strategy analysis for electric vehicles sales in India," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 185(C).
    30. Hu, Xu & Yang, Zhaojun & Sun, Jun & Zhang, Yali, 2021. "Sharing economy of electric vehicle private charge posts," Transportation Research Part B: Methodological, Elsevier, vol. 152(C), pages 258-275.
    Full references (including those not matched with items on IDEAS)

    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. Yao, Zhaosheng & Wang, Zhiyuan & Ran, Lun, 2023. "Smart charging and discharging of electric vehicles based on multi-objective robust optimization in smart cities," Applied Energy, Elsevier, vol. 343(C).
    2. Yao, Zhaosheng & Ran, Lun & Wang, Zhiyuan & Guo, Xian, 2024. "Integrated management of electric vehicle sharing system operations and Internet of Vehicles energy scheduling," Energy, Elsevier, vol. 309(C).
    3. Dirk Lauinger & François Vuille & Daniel Kuhn, 2024. "Reliable Frequency Regulation Through Vehicle-to-Grid: Encoding Legislation with Robust Constraints," Manufacturing & Service Operations Management, INFORMS, vol. 26(2), pages 722-738, March.
    4. Ho-Yin Mak & Runyu Tang, 2024. "Collaborative Vehicle-to-Grid Operations in Frequency Regulation Markets," Manufacturing & Service Operations Management, INFORMS, vol. 26(3), pages 814-833, May.
    5. Gong, Ke & Zhao, Bo & Xiong, Chu & Huang, Yuqin & Dong, Yuanxiang & Hu, Jian, 2026. "Minimum consumption pricing strategy for alleviating electric vehicle charging congestion," Energy, Elsevier, vol. 344(C).
    6. Heilmann, C. & Friedl, G., 2021. "Factors influencing the economic success of grid-to-vehicle and vehicle-to-grid applications—A review and meta-analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    7. Wei Qi & Mengyi Sha & Shanling Li, 2022. "When Shared Autonomous Electric Vehicles Meet Microgrids: Citywide Energy-Mobility Orchestration," Manufacturing & Service Operations Management, INFORMS, vol. 24(5), pages 2389-2406, September.
    8. Schöbel, Anita & Zhou-Kangas, Yue, 2021. "The price of multiobjective robustness: Analyzing solution sets to uncertain multiobjective problems," European Journal of Operational Research, Elsevier, vol. 291(2), pages 782-793.
    9. Jiao, Zihao & Ran, Lun & Zhang, Yanzi & Ren, Yaping, 2021. "Robust vehicle-to-grid power dispatching operations amid sociotechnical complexities," Applied Energy, Elsevier, vol. 281(C).
    10. Li Chen & Long He & Yangfang (Helen) Zhou, 2024. "An Exponential Cone Programming Approach for Managing Electric Vehicle Charging," Operations Research, INFORMS, vol. 72(5), pages 2215-2240, September.
    11. Rehman, Anis Ur & Lu, Junwei & Du, Bo & Bai, Feifei & Sanjari, Mohammad J. & Hossain, Md Alamgir, 2026. "Vehicle-to-grid technology for load balancing and energy management: A comprehensive review of technical, economic and environmental perspectives," Applied Energy, Elsevier, vol. 402(PB).
    12. Shao, Jing & Cui, Yinglong & Jiang, Changmin & Li, Hai, 2025. "The role of charging fee regulation in the adoption of electric vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 200(C).
    13. Lingling Shi & Bin Hu, 2024. "Frontiers in Operations: Battery as a Service: Flexible Electric Vehicle Battery Leasing," Manufacturing & Service Operations Management, INFORMS, vol. 26(4), pages 1269-1285, July.
    14. Zhang, Xinwei & Yan, Yong & Wang, Lilin & Wang, Yang, 2024. "A ranking approach for robust portfolio decision analysis based on multilinear portfolio utility functions and incomplete preference information," Omega, Elsevier, vol. 122(C).
    15. Wu, Song-Man & Wang, Qianqian & Chung, Sai-Ho & Hu, Li & Lau, Yui-yip & Liu, Shi Qiang, 2025. "Improving green urban mobility: A study on shared electric vehicles versus taxis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 198(C).
    16. Wang, Yaxian & Zhao, Zhenli & Baležentis, Tomas, 2023. "Benefit distribution in shared private charging pile projects based on modified Shapley value," Energy, Elsevier, vol. 263(PB).
    17. Xi Chen & Xiulan Liu & Xijuan Yu & Yongda Li & Shanna Luo & Xuebin Li, 2025. "Bayesian-Spatial Optimization of Emergency EV Dispatch Under Multi-Hazard Disruptions: A Behaviorally Informed Framework for Resilient Energy Support in Critical Grid Nodes," Energies, MDPI, vol. 18(17), pages 1-23, August.
    18. Cai, Zeen & Li, Chuanjia & Mo, Dong & Xu, Shuyang & Chen, Xiqun (Michael) & Lee, Der-Horng, 2024. "Optimizing consolidated shared charging and electric ride-sourcing services," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 184(C).
    19. Guangcan Xu & Jieyu Chen & Dennis Z. Yu & Yong Liu, 2024. "Evolutionary Game Analysis of Electric Vehicle Distribution Entities with Shared Charging Facilities," Mathematics, MDPI, vol. 12(21), pages 1-21, October.
    20. Pätzold, Julius & Schöbel, Anita, 2020. "Approximate cutting plane approaches for exact solutions to robust optimization problems," European Journal of Operational Research, Elsevier, vol. 284(1), pages 20-30.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:eee:transe:v:206:y:2026:i:c:s1366554525005721. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/600244/description#description .

    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.