Capacity configuration approach for battery swapping station: A staged programming model via double-end non-segmented-driven strategy
Author
Abstract
Suggested Citation
DOI: 10.1016/j.renene.2025.122747
Download full text from publisher
As the access to this document is restricted, you may want to
for a different version of it.References listed on IDEAS
- 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).
- Wu, Yan & Aziz, Syed Mahfuzul & Haque, Mohammed H., 2024. "Vehicle-to-home operation and multi-location charging of electric vehicles for energy cost optimisation of households with photovoltaic system and battery energy storage," Renewable Energy, Elsevier, vol. 221(C).
- Tao, Yuechuan & Qiu, Jing & Lai, Shuying & Sun, Xianzhuo & Zhao, Junhua & Zhou, Baorong & Cheng, Lanfen, 2022. "Data-driven on-demand energy supplement planning for electric vehicles considering multi-charging/swapping services," Applied Energy, Elsevier, vol. 311(C).
- Liang, Yanni & Cai, Hua & Zou, Guilin, 2021. "Configuration and system operation for battery swapping stations in Beijing," Energy, Elsevier, vol. 214(C).
- 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.
- Walied Alharbi & Abdullah S. Bin Humayd & Praveen R. P. & Ahmed Bilal Awan & Anees V. P., 2022. "Optimal Scheduling of Battery-Swapping Station Loads for Capacity Enhancement of a Distribution System," Energies, MDPI, vol. 16(1), pages 1-12, December.
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.- 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.
- 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).
- Xuewen Geng & Fengbin An & Chengmin Wang & Xi He, 2023. "Battery Swapping Station Pricing Optimization Considering Market Clearing and Electric Vehicles’ Driving Demand," Energies, MDPI, vol. 16(8), pages 1-14, April.
- 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).
- Adu-Gyamfi, Gibbson & Song, Huaming & Nketiah, Emmanuel & Obuobi, Bright & Wu, Qin & Cudjoe, Dan, 2024. "Refueling convenience and range satisfaction in electric mobility: Investigating consumer willingness to use battery swap services for electric vehicles," Journal of Retailing and Consumer Services, Elsevier, vol. 79(C).
- 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.
- Wang, Zhichao & Guo, Zhaomiao & Liu, Kai & Lin, Zhenhong & Li, Shunxi, 2024. "Multi-stage layout strategies of intercity charging and swapping infrastructure for electric logistics vehicles: random, radical, or conservative?," Transport Policy, Elsevier, vol. 153(C), pages 12-23.
- Schulz, Arne & Boysen, Nils & Briskorn, Dirk, 2024. "Centrally-chosen versus user-selected swaps: How the selection of swapping stations impacts standby battery inventories," European Journal of Operational Research, Elsevier, vol. 319(3), pages 726-738.
- Anjie Lu & Jianguo Zhou & Minglei Qin & Danchen Liu, 2024. "Considering Carbon–Hydrogen Coupled Integrated Energy Systems: A Pathway to Sustainable Energy Transition in China Under Uncertainty," Sustainability, MDPI, vol. 16(21), pages 1-32, October.
- Yin, Rumeng & He, Jiang, 2023. "Design of a photovoltaic electric bike battery-sharing system in public transit stations," Applied Energy, Elsevier, vol. 332(C).
- Adil, Muhammad & Mahmud, M.A. Parvez & Kouzani, Abbas Z. & Khoo, Sui Yang, 2024. "Three-stage energy trading framework for retailers, charging stations, and electric vehicles: A game-theoretic approach," Energy, Elsevier, vol. 301(C).
- Tian, Zhaoming & Cao, Xiaoyu & Zeng, Bo & Guan, Xiaohong, 2025. "Adaptive infinite-horizon control of hybrid EV/FCEV charging hubs: A large-model based deep reinforcement learning approach," Applied Energy, Elsevier, vol. 390(C).
- Gull, Muhammad Shuzub & Khalid, Muhammad & Arshad, Naveed, 2024. "Multi-objective optimization of battery swapping station to power up mobile and stationary loads," Applied Energy, Elsevier, vol. 374(C).
- Hu, Xu & Yang, Zhaojun & Sun, Jun & Zhang, Yali, 2024. "When should capital-constrained swap service providers partner with battery lessors?," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 190(C).
- Dongpu Fu & Jiarui Sun & Cuiyou Yao & Fulei Shi, 2024. "The influence of policy incentives on the diffusion of battery-swapping taxis and stations: a coupled evolutionary game model in complex networks," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(10), pages 26945-26969, October.
- Nayak, Dhyaan Sandeep & Misra, Shamik, 2024. "An operational scheduling framework for Electric Vehicle Battery Swapping Station under demand uncertainty," Energy, Elsevier, vol. 290(C).
- Chu, Yi & Yu, Hui & Li, Ying, 2024. "How do supply- and demand-side dynamics and subsidies affect the prospects for electric vehicle battery swapping services? Evidence from an evolutionary analysis," Energy, Elsevier, vol. 308(C).
- Su, Yongxin & Yue, Shuaixian & Qiu, Lei & Chen, Jie & Wang, Rui & Tan, Mao, 2024. "Energy management for scalable battery swapping stations: A deep reinforcement learning and mathematical optimization cascade approach," Applied Energy, Elsevier, vol. 365(C).
- Zhang, Xinfang & Zhang, Zhe & Liu, Yang & Xu, Zhigang & Qu, Xiaobo, 2024. "A review of machine learning approaches for electric vehicle energy consumption modelling in urban transportation," Renewable Energy, Elsevier, vol. 234(C).
- 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).
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:renene:v:244:y:2025:i:c:s0960148125004094. 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.journals.elsevier.com/renewable-energy .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.