• DocumentCode
    3669392
  • Title

    Applying stochastic methods for range prediction in E-mobility

  • Author

    Kai Gebhardt;Volkmar Schau;Wilhelm R. Rossak

  • Author_Institution
    Dept of Mathematics and Computer Science Friedrich-Schiller-Universitat Jena Jena, Germany
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In a time where environmental protection is a big topic, use of electric vehicles is steadily increasing. Many people have reservations to use this new technology because of the limited range of electric vehicle. The range is influenced by many parameters like velocity, ramp, weight and so on. In respect of such facts prediction of range is a very important but difficult topic. One thinkable solution is to model the electric vehicle by using physical properties. Such approaches are restricted to a specific vehicle type and it is not possible to transfer the solution without a good deal of work. In this paper, we present a new approach, which is not restricted to vehicle types, by using statistical methods.
  • Keywords
    "Mathematical model","Electric vehicles","Energy loss","Batteries","Prediction algorithms","Energy consumption"
  • Publisher
    ieee
  • Conference_Titel
    Innovations for Community Services (I4CS), 2015 15th International Conference on
  • Print_ISBN
    978-1-4673-7327-2
  • Type

    conf

  • DOI
    10.1109/I4CS.2015.7294483
  • Filename
    7294483