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
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;
Conference_Titel :
Control and Decision Conference (CCDC), 2013 25th Chinese
Conference_Location :
Guiyang
Print_ISBN :
978-1-4673-5533-9
DOI :
10.1109/CCDC.2013.6561361