• DocumentCode
    129972
  • Title

    Prediction of electric vehicle ownership based on Gompertz model

  • Author

    Xiaolei Li ; Enjie Wang ; Chengjin Zhang

  • Author_Institution
    Sch. of Control Sci. & Eng., Shandong Univ., Jinan, China
  • fYear
    2014
  • fDate
    28-30 July 2014
  • Firstpage
    87
  • Lastpage
    91
  • Abstract
    This paper introduces the common prediction methods of vehicle ownership, and makes a compare of the Gompertz model with Logistic model. As a result, a prediction model based on the Gompertz model is proposed to predict the electric vehicle ownership of China. Then, the calculation of the model´s parameters is given. Finally, we predict the electric vehicle ownership with the civilian car ownership data of China. According to the prediction results, China´s electric vehicle ownership will reach the inflection point around 2035, and tend to be saturated gradually.
  • Keywords
    electric vehicles; prediction theory; China; Gompertz model; civilian car ownership data; electric vehicle ownership prediction; inflection point; logistic model; prediction model; Automobiles; Electric vehicles; Logistics; Market research; Mathematical model; Predictive models; Gompertz model; electric vehicle; ownership prediction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Automation (ICIA), 2014 IEEE International Conference on
  • Conference_Location
    Hailar
  • Type

    conf

  • DOI
    10.1109/ICInfA.2014.6932631
  • Filename
    6932631