• DocumentCode
    2791943
  • Title

    Model to forecast the popularity of electric vehicles

  • Author

    Huimin, Liu ; Tengyu, Guo

  • Author_Institution
    Sch. of Inf. & Commun. Eng., Beijing Univ. of Posts & Telecommun., Beijing, China
  • fYear
    2011
  • fDate
    15-17 July 2011
  • Firstpage
    417
  • Lastpage
    421
  • Abstract
    Electric vehicle (EV) is getting more and more popular and characters of environment-friendly and fuel-saving serve as the mean course for its expanding. In order to predict the performance of EVs in the near future, a model is presented to simulate the car market the main ´battle field´ of electrification of transportation. Two complementary and reciprocal factors are concentrated in our model consumers and manufacturers, whose decisions will be influenced by prices, maintenance costs, production costs, market demand and supply. To evaluate our model, we assume a virtual country with ten thousand cars. Using our model to simulate the recursive progress of electrification, then the simulations shows the virtual market will be taken by EVs gradually. After that, our model is used to analyze energy saving during the electrification of transportation and the factors changing are also discussed to present their affection of the electrifying progress.
  • Keywords
    automobiles; demand forecasting; electric vehicles; forecasting theory; industrial economics; pricing; supply and demand; EV performance prediction; car market; electric vehicles; energy saving analysis; environment friendly vehicles; maintenance costs; market demand and supply; pricing; production costs; transportation electrification; Electric vehicles; Electricity; Fuel economy; Petroleum; Predictive models;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechanic Automation and Control Engineering (MACE), 2011 Second International Conference on
  • Conference_Location
    Hohhot
  • Print_ISBN
    978-1-4244-9436-1
  • Type

    conf

  • DOI
    10.1109/MACE.2011.5986948
  • Filename
    5986948