• DocumentCode
    3479367
  • Title

    Range estimator for electric vehicles

  • Author

    Moure, Christophe ; Arroyos, Marina Roche ; Mammetti, Marco

  • fYear
    2013
  • fDate
    17-20 Nov. 2013
  • Firstpage
    1
  • Lastpage
    15
  • Abstract
    One of the most critical topics for electric vehicles due to the restricted possibility of energy storage is the prediction of the remaining range. By an accurate prediction of range, the driver can decide whether and where a stop needs to be planned to recharge the battery and so avoid what is known as “range anxiety”. For a high performance vehicle this range prediction requires special algorithms as the possible energy consumption can range from almost 0 Wh/km in moderate downhill driving up to 1000 or even 2000 Wh/km in race track use.
  • Keywords
    electric vehicles; energy consumption; electric vehicles; energy consumption; energy storage; race track use; range prediction; Algorithm design and analysis; Batteries; Energy consumption; Estimation; Global Positioning System; Vehicles; ZEV (zero emission vehicle); efficiency; energy consumption; range;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Vehicle Symposium and Exhibition (EVS27), 2013 World
  • Conference_Location
    Barcelona
  • Type

    conf

  • DOI
    10.1109/EVS.2013.6914917
  • Filename
    6914917