Optimizing electric vehicle users' charging behavior in battery swapping mode

被引:80
|
作者
Rao, Rao [1 ]
Zhang, Xingping [1 ]
Xie, Jian [1 ]
Ju, Liwei [1 ]
机构
[1] North China Elect Power Univ, Sch Econ & Management, Beijing 102206, Peoples R China
基金
北京市自然科学基金; 中国国家自然科学基金;
关键词
Battery swapping; Charging behavior; Battery discharging; Charging strategy; GRID CONNECTION; DEMAND;
D O I
10.1016/j.apenergy.2015.05.125
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Battery swapping mode (BSM) is an important method of supplying energy to electric vehicles, in which the battery swapping behavior of electric vehicle users affects significantly the charging behavior of the battery swapping station. To determine the impacts of a driver's swapping behavior on the power grid and generation cost, this paper proposes an optimization charging mode (OCM) and simulates the impacts of OCM on the power grid side and generation side. The empirical results indicate that the OCM significantly benefits the power grid and power generators. For the power grid side, OCM is helpful in balancing the power load and decreasing the difference of the peak and valley load. For the generation side, generators will reduce their coal consumption and cost when the OCM is conducted. In addition, OCM can integrate more renewable power into the power grid. Moreover, the empirical results demonstrate that the development of electric vehicle (EV) features scale economy. The benefits of OCM for the power grid side and generation side would be significantly improved with the increase of EV volume. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:547 / 559
页数:13
相关论文
共 50 条
  • [1] An Optimization Model for Electric Vehicle Battery Charging at a Battery Swapping Station
    Wu, Hao
    Pang, Grantham Kwok Hung
    Choy, King Lun
    Lam, Hoi Yan
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2018, 67 (02) : 881 - 895
  • [2] Optimizing Spare Battery Allocation in an Electric Vehicle Battery Swapping System
    Dreyfuss, Michael
    Giat, Yahel
    PROCEEDINGS OF THE 6TH INTERNATIONAL CONFERENCE ON OPERATIONS RESEARCH AND ENTERPRISE SYSTEMS (ICORES), 2017, : 38 - 46
  • [3] Pricing and Investment Strategies for Electric Vehicle Battery Charging and Swapping
    Xu S.-X.
    Xie B.
    Qin W.
    Cheng H.-B.
    Jiaotong Yunshu Xitong Gongcheng Yu Xinxi/Journal of Transportation Systems Engineering and Information Technology, 2021, 21 (05): : 183 - 189
  • [4] Joint charging mode and location choice model for battery electric vehicle users
    Xu, Min
    Meng, Qiang
    Liu, Kai
    Yamamoto, Toshiyuki
    TRANSPORTATION RESEARCH PART B-METHODOLOGICAL, 2017, 103 : 68 - 86
  • [5] Research on Electric Vehicle Charging & Battery Swapping Robot System
    Wang Xin
    Wang Jing
    CURRENT DEVELOPMENT OF MECHANICAL ENGINEERING AND ENERGY, PTS 1 AND 2, 2014, 494-495 : 20 - +
  • [6] Strategic investment in electric vehicle charging service: Fast charging or battery swapping
    Zhang, Yudi
    Wang, Xiaojun
    Zhi, Bangdong
    INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2024, 268
  • [7] Optimizing the Load Curve of Electric Vehicle Battery Swapping Station
    Sun, Wei-Qing
    Tan, Yi-Ming
    Ye, Lei
    Chen, Shun-Feng
    ELEKTRONIKA IR ELEKTROTECHNIKA, 2017, 23 (04) : 3 - 8
  • [8] Queueing Network Models for Electric Vehicle Charging Station with Battery Swapping
    Tan, Xiaoqi
    Sun, Bo
    Tsang, Danny H. K.
    2014 IEEE INTERNATIONAL CONFERENCE ON SMART GRID COMMUNICATIONS (SMARTGRIDCOMM), 2014, : 1 - 6
  • [9] An Optimal Battery Charging Algorithm in Electric Vehicle-Assisted Battery Swapping Environments
    Ko, Haneul
    Pack, Sangheon
    Leung, Victor C. M.
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 23 (05) : 3985 - 3994
  • [10] Fast-charging station choice behavior among battery electric vehicle users
    Sun, Xiao-Hui
    Yamamoto, Toshiyuki
    Morikawa, Takayuki
    TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, 2016, 46 : 26 - 39