• DocumentCode
    3574642
  • Title

    Charging facility planning for Electric Vehicles

  • Author

    Siting Chang ; Hongyang Li ; Nahrstedt, Klara

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA
  • fYear
    2014
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    With the fast development and growth of Electric Vehicles (EV) in use, finding optimal locations for charging facilities became a critical issue since growth of EVs heavily depends on the availability of public charging facilities. Several researches have been done related to this topic considering optimal locations of charging stations on road networks. In this paper, we extend the problem by also taking into account optimal locations of charging pads which uses inductive charging technology. Flow Refueling Location Model (FRLM) was proposed to maximize the refueled traffic flow by allocating a fixed number of facilities, e.g., gas stations. This paper extends FRLM to consider both charging station and charging pad allocation to maximize the recharged EV flow. Evaluation on a sample network shows that deploying charging pads on road network enables us to capture more traffic flow than locating charging stations only. Charging pad deployment also significantly shortens the charging time spent by EV drivers.
  • Keywords
    electric vehicles; facilities planning; road traffic; EV; FRLM; charging facility planning; charging pad allocation; charging station; electric vehicles; flow refueling location model; inductive charging technology; refueled traffic flow; road network; Batteries; Charging stations; Fuels; Indexes; Optimization; Roads; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Vehicle Conference (IEVC), 2014 IEEE International
  • Type

    conf

  • DOI
    10.1109/IEVC.2014.7056077
  • Filename
    7056077