• DocumentCode
    620132
  • Title

    Reasoning calculation of the electrical vehicle recharging service network construction via fitting prediction

  • Author

    Niu Xinsheng ; Li Xiaolei ; Li Huan ; Zhang Chengjin ; Liu Xiaoming

  • Author_Institution
    Power Econ. Inst. of Technol., Shandong Electr. Power Corp., Jinan, China
  • fYear
    2013
  • fDate
    25-27 May 2013
  • Firstpage
    2501
  • Lastpage
    2505
  • Abstract
    The developing trend of the electrical vehicle recharging service network is analyzed in a reasoning calculation method for the coming several years. To simulate the developing conditions of related factors, some fitting prediction models are proposed based on the statistical data of the last several years. They are China´s automobile increasing model, China´s electrical vehicle increasing model, electricity price prediction model, and so on. Also, the configuration, investment, and revenue model of the electrical vehicle recharging service networks are proposed. We select Jinan as a typical city to make a calculation for service networks´ development. And we draw the conclusion that the service network will get refunding till 2017 to 2020.
  • Keywords
    automobiles; electric vehicles; investment; secondary cells; China automobile increasing model; China electrical vehicle increasing model; Jinan; electrical vehicle recharging service network construction; electricity price prediction; fitting prediction; investment; reasoning calculation; revenue model; statistical data; Automobiles; Batteries; Biological system modeling; Electricity; Predictive models; Standards; Electrical Vehicle; Fitting Prediction Model; Reasoning Calculation; Recharging Service Network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2013 25th Chinese
  • Conference_Location
    Guiyang
  • Print_ISBN
    978-1-4673-5533-9
  • Type

    conf

  • DOI
    10.1109/CCDC.2013.6561361
  • Filename
    6561361