Operation optimization approaches of electric vehicle battery swapping and charging station: A literature review

被引:84
作者
Cui, Dingsong [1 ]
Wang, Zhenpo [1 ,2 ]
Liu, Peng [1 ,2 ]
Wang, Shuo [1 ]
Dorrell, David G. [3 ]
Li, Xiaohui [1 ]
Zhan, Weipeng [1 ]
机构
[1] Beijing Inst Technol, Beijing Coinnovat Ctr Elect Vehicles, Natl Engn Lab Elect Vehicles, Beijing, Peoples R China
[2] Beijing Inst Technol, Chongqing Innovat Ctr, Beijing, Peoples R China
[3] Univ Witwatersrand, Sch Elect & Informat Engn, Johannesburg, South Africa
关键词
Review; Electric vehicle; Battery swapping mode; Battery swapping and charging station; Operation optimization model; Vehicle scheduling; MANAGEMENT; MODEL; TRANSPORTATION; DEPLOYMENT; STRATEGY; SYSTEMS; TAXIS;
D O I
10.1016/j.energy.2022.126095
中图分类号
O414.1 [热力学];
学科分类号
摘要
The battery swapping mode (BSM) for an electric vehicle (EV) is an efficient way of replenishing energy. However, there have been perceived operation-related issues related large-scale deployment of the BSM. How-ever, previous reviews have failed to examine the mathematical methods of the operation optimization process, which are highlighted in this work. The paper aims to provide a complete and systematic overview of the operation optimization approaches for EV battery swapping and charging stations. This work addresses the current operation mode of battery swapping networks and examines the optimization objectives, constraints, and mathematical programming methods. The paper highlights the motivations of different ownership models for establishing different objectives and discusses the merits and drawbacks of approaches in previous studies for different application scenarios. For the possible focus of future work, the paper details opportunities and chal-lenges of dynamic service pricing, battery-to-grid scheduling, and behavior scheduling. This review aids future research of battery charging and swapping station operation and vehicle scheduling, and provides a systematic and theoretical reference for model selection.
引用
收藏
页数:14
相关论文
共 105 条
[1]   Battery swapping station for electric vehicles: opportunities and challenges [J].
Ahmad, Furkan ;
Saad Alam, Mohammad ;
Saad Alsaidan, Ibrahim ;
Shariff, Samir M. .
IET SMART GRID, 2020, 3 (03) :280-286
[2]   Environmental impacts and behavioral drivers of deep decarbonization for transportation through electric vehicles [J].
Ahmadi, Pouria .
JOURNAL OF CLEANER PRODUCTION, 2019, 225 :1209-1219
[3]   Optimal Charging Schedule of Electric Vehicles at Battery Swapping Stations in a Smart Distribution Network [J].
Amiri, Saeed Salimi ;
Jadid, Shahram .
2017 SMART GRID CONFERENCE (SGC), 2017,
[4]   Multi-objective optimum charging management of electric vehicles through battery swapping stations [J].
Amiri, Saeed Salimi ;
Jadid, Shahram ;
Saboori, Hedayat .
ENERGY, 2018, 165 :549-562
[5]   Optimal recharging strategy for battery-switch stations for electric vehicles in France [J].
Armstrong, M. ;
Moussa, C. El Hajj ;
Adnot, J. ;
Galli, A. ;
Riviere, P. .
ENERGY POLICY, 2013, 60 :569-582
[6]   Electric Vehicles with a Battery Switching Station: Adoption and Environmental Impact [J].
Avci, Buket ;
Girotra, Karan ;
Netessine, Serguei .
MANAGEMENT SCIENCE, 2015, 61 (04) :772-794
[7]  
BAIC, 2020, EU300
[8]   Battery Swapping An aggressive approach to transportation electrification [J].
Ban, Mingfei ;
Yu, Juni ;
Li, Zhiyi ;
Guo, Danyang ;
Ge, Jing .
IEEE ELECTRIFICATION MAGAZINE, 2019, 7 (03) :44-54
[9]  
Banerjee A, 2019, 2018 IEEE 88 VEH TEC, DOI 10.1109/VTCFall.2018.8691034
[10]   Multi-Objective Optimal Scheduling of Electric Vehicle batteries in Battery Swapping Station [J].
Battapothula, Gurappa ;
Yammani, Chandrasekhar ;
Maheswarapu, Sydulu .
PROCEEDINGS OF 2019 IEEE PES INNOVATIVE SMART GRID TECHNOLOGIES EUROPE (ISGT-EUROPE), 2019,