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
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;
Conference_Titel :
Information and Automation (ICIA), 2014 IEEE International Conference on
Conference_Location :
Hailar
DOI :
10.1109/ICInfA.2014.6932631