En-route fast charging infrastructure planning and scheduling for battery electric bus systems

被引:19
|
作者
Wang, Xuedong [1 ]
Song, Ziqi [2 ]
Xu, Hongli [1 ]
Wang, Hua [3 ]
机构
[1] Nanjing Univ, Sch Engn & Management, Nanjing 210000, Peoples R China
[2] Utah State Univ, Dept Civil & Environm Engn, Logan, UT 84322 USA
[3] Natl Univ Singapore, Dept Civil & Environm Engn, Singapore 117576, Singapore
基金
中国国家自然科学基金;
关键词
Battery electric bus system; Infrastructure planning; Charging scheduling; En -route charging; Charging conflicts; COST; OPTIMIZATION; DEPLOYMENT; MODEL;
D O I
10.1016/j.trd.2023.103659
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The recent advancements toward fast charging technology enable electric buses to be re-charged at bus stops during passengers' boarding and alighting times. The costs of en-route charging can be substantially reduced through facility sharing among buses from multiple lines, which may, however, result in charging conflicts. This study investigates the charging infrastructure planning and scheduling for a battery electric bus (BEB) system, considering en-route charging and charging conflict avoidance. We introduced a station-based discrete-event approach to discretize the BEB operation system for an entire day. Subsequently, two models were established to determine the charging scheduling and infrastructure planning, which are further reformulated as linear mixed-integer programs. Dwelling times with- and without potential charging conflicts were distinguished in advance and processed separately to reduce the scale of the problem. Numerical examples demonstrated that the proposed models could be solved efficiently in a large BEB system, and cost-effective en-route charging is achievable.
引用
收藏
页数:17
相关论文
共 50 条
  • [31] Battery electric bus infrastructure planning under demand uncertainty
    An, Kun
    TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2020, 111 (111) : 572 - 587
  • [32] A Simulated Annealing Approach to the Scheduling of Battery-Electric Bus Charging
    Brown, Alexander
    Droge, Greg
    FUTURE TRANSPORTATION, 2024, 4 (03): : 1022 - 1045
  • [33] Cooperative Optimization of Bus Service and Charging Schedules for a Fast-Charging Battery Electric Bus Network
    Li, Pengshun
    Jiang, Mengyan
    Zhang, Yi
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2023, 24 (05) : 5362 - 5375
  • [34] Optimal electric bus scheduling considering battery degradation effect and charging facility capacity
    Zhang, Mingye
    Yang, Min
    TRANSPORTATION LETTERS-THE INTERNATIONAL JOURNAL OF TRANSPORTATION RESEARCH, 2025, 17 (03): : 491 - 501
  • [35] A Network Flow Approach to Battery Electric Bus Scheduling
    Whitaker, Justin
    Droge, Greg
    Hansen, Matthew
    Mortensen, Daniel
    Gunther, Jacob
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2023, 24 (09) : 9098 - 9109
  • [36] Planning of Fast-Charging Stations for a Battery Electric Bus System under Energy Consumption Uncertainty
    Liu, Zhaocai
    Song, Ziqi
    He, Yi
    TRANSPORTATION RESEARCH RECORD, 2018, 2672 (08) : 96 - 107
  • [37] Stochastic fast charging scheduling of battery electric buses with energy storage systems design
    Zheng, Feifeng
    Cao, Runfeng
    Liu, Ming
    COMPUTERS & INDUSTRIAL ENGINEERING, 2024, 191
  • [38] Collaborative strategy for electric vehicle charging scheduling and route planning
    Zhang, Jingyi
    Jing, Wenpeng
    Lu, Zhaoming
    Wu, Haotian
    Wen, Xiangming
    IET SMART GRID, 2024, 7 (05) : 628 - 642
  • [39] Optimal battery electric bus planning and its economic and environmental impacts
    Lee, Jinwoo
    Oh, Seungmin
    Son, Sanghoon
    TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, 2023, 122
  • [40] Addressing the range anxiety of battery electric vehicles with charging en route
    Chakraborty, Prabuddha
    Parker, Robert
    Hoque, Tamzidul
    Cruz, Jonathan
    Du, Lili
    Wang, Shuo
    Bhunia, Swarup
    SCIENTIFIC REPORTS, 2022, 12 (01)