• DocumentCode
    2619318
  • Title

    Modeling market development of electric vehicles

  • Author

    Wansart, Joerg ; Schnieder, Eckehard

  • Author_Institution
    Inst. of Traffic Safety & Autom. Eng., Tech. Univ. Braunschweig, Braunschweig, Germany
  • fYear
    2010
  • fDate
    5-8 April 2010
  • Firstpage
    371
  • Lastpage
    376
  • Abstract
    Automobile powertrains are so far predominantly based on internal combustion engines burning fossil fuels so far. However, due to mandatory emission reduction and rising oil prices hybrid and full electric vehicles are about to be introduced in mass markets. Given their high costs, small range and missing recharging infrastructure, electric vehicles do not seem to be competitive enough compared to conventional powertrains to gain significant market share. This paper examines how such an infrastructure-dependent innovation can succeed on the long term in competition with an incumbent technology. A dynamic model is presented that contains cost, range, and infrastructure development as dynamic effects which drive adoption. The model is analyzed further in a simulation study, where the strength of feedback effects is evaluated. From this study it has to be concluded that it is primarily a quickly growing customer awareness that enables long-term market growth for electric vehicles. Quick cost reduction for batteries also has a significant effect, but it is less significant than awareness.
  • Keywords
    automobile industry; electric vehicles; hybrid electric vehicles; automobile powertrains; batteries cost reduction; customer awareness; emission reduction; fossil fuels; hybrid electric vehicles; infrastructure development; infrastructure-dependent innovation; internal combustion engines; long-term market growth; market development modeling; oil prices; battery electric vehicles; diffusion; innovation adoption; system dynamics; systems thinking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems Conference, 2010 4th Annual IEEE
  • Conference_Location
    San Diego, CA
  • Print_ISBN
    978-1-4244-5882-0
  • Type

    conf

  • DOI
    10.1109/SYSTEMS.2010.5482453
  • Filename
    5482453