• DocumentCode
    188526
  • Title

    Autonomy estimation for EV based on road planning software

  • Author

    Chrenko, Daniela ; Ravey, Alexandre ; Roche, Robin ; Bouquain, David

  • Author_Institution
    Inst. Super. de l´Automobile et des Transp., Univ. of Burgundy, Nevers, France
  • fYear
    2014
  • fDate
    15-18 June 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    A methodology to estimate the energy consumption of an electric vehicle is presented. An approach to create a driving cycle based on data extracted from road planning software is developed; it is used to forecast the total cycle energy consumption. Results are compared to the ones obtained from the corresponding actual driving cycle. The influence of road elevation is taken into. Results match with regard to vehicle velocities, power demand and estimated energy consumption, with a maximum error of 10%. It can thus be concluded that road planning-based energy consumption estimation can be a useful tool by providing accurate information to drivers.
  • Keywords
    electric vehicles; planning; road vehicles; traffic information systems; autonomy estimation; data extraction; driving cycle; electric vehicle; energy consumption estimation; power demand; road elevation; road planning software; total cycle energy consumption forecasting; vehicle velocities; Acceleration; Energy consumption; Estimation; Planning; Roads; Software; Vehicles; driving cycle; electric vehicle; range anxiety; road planning software;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Transportation Electrification Conference and Expo (ITEC), 2014 IEEE
  • Conference_Location
    Dearborn, MI
  • Type

    conf

  • DOI
    10.1109/ITEC.2014.6861815
  • Filename
    6861815