• DocumentCode
    156969
  • Title

    Optimal configuration of EV battery swapping station considering service availability

  • Author

    Lu Xinyi ; Liu Nian ; Huang Yangqi ; Zhang Jianhua ; Zhou Nan

  • Author_Institution
    Dept. of Electr. & Electron. Eng., North China Electr. Power Univ., Beijing, China
  • fYear
    2014
  • fDate
    23-25 April 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Battery swapping becomes one of the most important ways to supply the energy for electric vehicles (EVs), since it takes a short time to recharge and is convenient in managing. It leads to growing popularity of the EVs to develop the battery swapping station (BSS). This paper investigates the optimization of the number of EV battery (EVB) packs and the chargers of the station. The structure of the station system and the operation strategy of “charging immediately after swapping” is first talked about. Then, the number of EVB packs in different states is analyzed based on the aforementioned strategy. We build a mathematical model which has the objective of uniform annual value of the facilities´ cost, and restrictions of the size of the station and the demand of availability of battery swapping service per day (ABSSD). The mathematical model is solved with DE algorithm. The optimization method is configured and proved to be rational by results of a case analyzed. The research provides support for configuration plan of BSS.
  • Keywords
    battery chargers; battery powered vehicles; evolutionary computation; DE algorithm; EV BSS; battery chargers; battery packs; battery swapping station; differential evolution; electric vehicles; mathematical model; optimal configuration; service availability; Availability; Batteries; Electric vehicles; Integrated circuits; Sociology; Statistics; Battery packs; Battery swapping station; Charger; Optimal Configuration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Green Building and Smart Grid (IGBSG), 2014 International Conference on
  • Conference_Location
    Taipei
  • Type

    conf

  • DOI
    10.1109/IGBSG.2014.6835217
  • Filename
    6835217