• DocumentCode
    163012
  • Title

    A Computationally Inexpensive Battery Model for the Microscopic Simulation of Electric Vehicles

  • Author

    Schellenberg, Sebastian ; Berndt, Rudiger ; Eckhoff, David ; German, Reinhard

  • Author_Institution
    Comput. Networks & Commun. Syst. Dept. of Comput. Sci., Univ. of Erlangen, Erlangen, Germany
  • fYear
    2014
  • fDate
    14-17 Sept. 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The transition from classic combustion engine vehicles to electric vehicles is a major step to reduce worldwide CO2 emissions. In order to correctly and efficiently investigate impacts on the electric grid and the dimensioning of charging infrastructure, or to explore new technologies for a further increase of the driving range, realistic simulation models are required. In this paper, we present an accurate yet computationally inexpensive battery and kinematic model to be used in microscopic traffic simulation to help study the performance of thousands of electric vehicles. Our model also supports recuperation and range extender modules while only relying on the vehicle´s speed and a set of constant predefined parameters. It can therefore be easily coupled with current sophisticated traffic simulators. We show its applicability and correctness regarding the State of Charge and power flows using comprehensive real-life experiments.
  • Keywords
    battery powered vehicles; load flow; power grids; road traffic; secondary cells; charging infrastructure; computationally inexpensive battery model; electric grid; electric vehicle microscopic simulation; kinematic model; microscopic traffic simulation; power flow; state of charge; Acceleration; Batteries; Computational modeling; Engines; Mathematical model; System-on-chip; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Technology Conference (VTC Fall), 2014 IEEE 80th
  • Conference_Location
    Vancouver, BC
  • Type

    conf

  • DOI
    10.1109/VTCFall.2014.6965807
  • Filename
    6965807