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
Link To Document :
بازگشت