• DocumentCode
    154930
  • Title

    Electric Vehicle green routing with possible en-route recharging

  • Author

    Baouche, Fouad ; Billot, Romain ; Trigui, R. ; El Faouzi, Nour Eddin

  • Author_Institution
    Transp. & Traffic Eng. Lab., Univ. of Lyon, Lyon, France
  • fYear
    2014
  • fDate
    8-11 Oct. 2014
  • Firstpage
    2787
  • Lastpage
    2792
  • Abstract
    The deployment of Electric Vehicles (EVs) is constrained mainly by the restricted autonomy, the lack of charging stations, the battery recharge time and recuperation capability (e.g. braking phases or downhill). In this study we aim to develop a green routing tool to encourage the use of EV. To overcome the autonomy limitation we propose a methodology for the EV that includes a charging stations location model, an energy graph construction for EV routing and a resolution scheme for the routing problem with recharging stage(s) along the way on the available charging stations.
  • Keywords
    battery powered vehicles; environmental factors; graph theory; EV routing; battery recharge time; charging stations location model; electric vehicle green routing; en-route recharging; energy graph construction; recuperation capability; Batteries; Charging stations; Computational modeling; Roads; Routing; System-on-chip; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Transportation Systems (ITSC), 2014 IEEE 17th International Conference on
  • Conference_Location
    Qingdao
  • Type

    conf

  • DOI
    10.1109/ITSC.2014.6958136
  • Filename
    6958136