Cart (Loading....) | Create Account
Close category search window
 

An investigation into the impacts of the crucial factors on EVs charging load

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Yao Wang ; Dept. of Electr. Eng., Tsinghua Univ., Beijing, China ; Qinglai Guo ; Hongbin Sun ; Zhengshuo Li

Nowadays, the development of electric vehicles (EVs) is encouraged in China to address the issues about the energy security and the environment. In this study, the impacts of some crucial factors on the total charging load are investigated, such as the charging rate of the charging infrastructures, the battery capacity, the preference of the charging behavior and the penetration level of the charging infrastructures in public places. A methodology is presented to estimate the charging load which needs a sample consisting of the charging schedules of a great number of EVs. As the sample isn't available at present, a real-world travel dataset of conventional vehicles is taken advantage of to generate the sample by simulating EVs considering the factors mentioned above. Thereby, the estimations of the charging load corresponding to the different values of the factors are attained, which is used for investigating the impacts of these factors in turn. Some conclusions are: 1) the charging rate of the charging infrastructures in public places has a small impact on the charging load; 2) although the larger battery capacity leads to the larger power demand, the increment is minor; 3) the preference of the charging behavior of the owners influences the charging load significantly.

Published in:

Innovative Smart Grid Technologies - Asia (ISGT Asia), 2012 IEEE

Date of Conference:

21-24 May 2012

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.