• DocumentCode
    1775281
  • Title

    Smart battery dispatch strategy based on dynamic programming

  • Author

    Yi Liang ; Shuo Zhang ; Jinwen Liu ; Fengjuan Zhang ; Qing Wang ; Zhonghu Xu ; Jing Guo ; Zeya Chen ; Zan Ma

  • Author_Institution
    Univ. of Sci. & Technol. of China, Hefei, China
  • fYear
    2014
  • fDate
    18-20 June 2014
  • Firstpage
    296
  • Lastpage
    301
  • Abstract
    With the increasing popularity of electric vehicles, there will be huge amount of electric vehicles visiting the battery charging station to change their batteries. In the charging station, a robotic arm may move back and forth thousands of times to change batteries for vehicles every day, which results in huge energy consumption. However, it is difficult to design a good dispatch method to minimize the energy consumption of the robotic arm since arrivals of vehicles are real-time and unpredictable. In this paper, under the actual application scenario, we propose an effective algorithm to address this issue. According to our simulation, this algorithm can always find the global optimal dispatch strategy, which can minimize the energy consumption of the robotic arm.
  • Keywords
    battery management systems; battery powered vehicles; dynamic programming; secondary cells; battery charging station; dynamic programming; electric vehicles; global optimal dispatch strategy; robotic arm; smart battery dispatch strategy; Batteries; Dynamic programming; Electric vehicles; Heuristic algorithms; Robots; Silicon;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control & Automation (ICCA), 11th IEEE International Conference on
  • Conference_Location
    Taichung
  • Type

    conf

  • DOI
    10.1109/ICCA.2014.6870935
  • Filename
    6870935