• DocumentCode
    1753849
  • Title

    Study on the Electric Vehicles Ownership and Planning for the Construction of Charging Infrastructure

  • Author

    Luo hanwu ; Ruan Jiangjun ; Li Fang

  • Author_Institution
    Sch. of Electr. Eng., Wuhan Univ., Wuhan, China
  • fYear
    2011
  • fDate
    25-28 March 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Electric vehicle has been proved to be a way to solve the global warming and the dwindling oil resources. The construction of the charging station can ensure the development of the electric vehicles. In the paper, the model to forecast the electric vehicles ownership is presented firstly, which is based on the Grey prediction model and the national statistical data for the civil vehicles ownership. By using the GM(1,1) model the randomness degree is greatly weakened and the stability is greatly increased in the forecasting of the EV ownership. Then the method to calculate the total count of the charging infrastructure is presented. With the prediction of the electric vehicles ownership and the total amount of the charging infrastructure, a low cost and energy saving charging system can be ensured.
  • Keywords
    electric vehicles; grey systems; planning; Grey prediction model; charging infrastructure construction; electric vehicles ownership; electric vehicles planning; global warming; Data models; Electric vehicles; Forecasting; Mathematical model; Planning; Predictive models;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference (APPEEC), 2011 Asia-Pacific
  • Conference_Location
    Wuhan
  • ISSN
    2157-4839
  • Print_ISBN
    978-1-4244-6253-7
  • Type

    conf

  • DOI
    10.1109/APPEEC.2011.5748974
  • Filename
    5748974