• DocumentCode
    3666938
  • Title

    The mathematical modeling of the mobile recharging facility vehicles´ scheduling and its genetic algorithm solution

  • Author

    Jin Zhou;Guanqun Yang;Guochun Tang

  • Author_Institution
    College of Engineering, Shanghai Second Polytechnic University, Shanghai, P.R. China
  • fYear
    2015
  • fDate
    6/1/2015 12:00:00 AM
  • Firstpage
    2040
  • Lastpage
    2043
  • Abstract
    By means of operation research and genetic algorithm, the scheduling of mobile battery recharging/swapping systems for electric vehicles is studied. It is helpful to enhance the dispatch plan decision ability for mobile recharging facility vehicles. After discussing and summarizing the customer needs of mobile battery recharging/swapping systems, an optimization model is put forward. Then the genetic algorithm is used to calculate the combinatorial model. The experiment results demonstrate that the model and corresponding computing method is feasible.
  • Keywords
    "Mobile communication","Batteries","Mathematical model","Electric vehicles","Genetic algorithms","Optimization"
  • Publisher
    ieee
  • Conference_Titel
    Cyber Technology in Automation, Control, and Intelligent Systems (CYBER), 2015 IEEE International Conference on
  • Print_ISBN
    978-1-4799-8728-3
  • Type

    conf

  • DOI
    10.1109/CYBER.2015.7288262
  • Filename
    7288262