Scheduled System Maintenance on May 29th, 2015:
IEEE Xplore will be upgraded between 11:00 AM and 10:00 PM EDT. During this time there may be intermittent impact on performance. We apologize for any inconvenience.
By Topic

Parameter Optimization of Power Control Strategy for Series Hybrid Electric Vehicle

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

3 Author(s)
Bufu Huang ; Chinese Univ. of Hong Kong, Shatin ; Xi Shi ; Yangsheng Xu

Aimed at the more and more serious problems of energy and pollution, Hybrid Electric Vehicle (HEV) is one of the best practical applications for transportation with high fuel economy and low emission. Since the power control strategy has a critical effect on the performance of HEV, genetic algorithm is introduced to optimize the strategy parameters for fuel economy and emissions in this paper. Compared with two main strategies, Thermostatic and DIRECT, the computation procedures of genetic algorithm are discussed, and simulation study based on the model of series hybrid electric vehicle is given to illustrate the optimization validity of the genetic algorithm.

Published in:

Evolutionary Computation, 2006. CEC 2006. IEEE Congress on

Date of Conference:

0-0 0