• DocumentCode
    2052262
  • Title

    Demand profile study of battery electric vehicle under different charging options

  • Author

    Marra, F. ; Guang Ya Yang ; Traholt, Chresten ; Larsen, E. ; Rasmussen, C.N. ; Shi You

  • Author_Institution
    Dept. of Electr. Eng., Tech. Univ. of Denmark, Lyngby, Denmark
  • fYear
    2012
  • fDate
    22-26 July 2012
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    An increased research on electric vehicles (EV) and plug-in hybrid electric vehicles (PHEV) deals with their flexible use in electric power grids. Several research projects on smart grids and electric mobility are now looking into realistic models representing the behavior of an EV during charging, including nonlinearities. In this work, modeling, simulation and testing of the demand profile of a battery-EV are conducted. Realistic work conditions for a lithium-ion EV battery and battery charger are considered as the base for the modeling. Simulation results show that EV charging generates different demand profiles into the grid, depending on the applied charging option. Moreover, a linear region for the control of EV chargers is identified in the range of 20-90% state-of-charge (SOC). Experiments validate the proposed model.
  • Keywords
    battery chargers; battery powered vehicles; hybrid electric vehicles; lithium; secondary cells; smart power grids; Li; PHEV; SOC; battery charger; battery electric vehicle; demand profile study; electric mobility; electric smart power grid; lithium-ion EV battery; plug-in hybrid electric vehicle; state-of-charge; Batteries; Impedance; Integrated circuit modeling; Load modeling; Smart grids; System-on-a-chip; charging; demand profile; electric vehicles; modeling; validation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting, 2012 IEEE
  • Conference_Location
    San Diego, CA
  • ISSN
    1944-9925
  • Print_ISBN
    978-1-4673-2727-5
  • Electronic_ISBN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PESGM.2012.6345063
  • Filename
    6345063