By Topic

Power split control strategy for a series Hybrid Electric Vehicle using fuzzy logic

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
$33 $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)
Xudong Liu ; College of Electronic Information and Control Engineering, Beijing University of Technology, 100124, China ; Yanping Wu ; Jianmin Duan

Hybrid electric vehicle (HEV) is considered as the most promising solution to energy crisis and urban air pollution. However, it is a complex electro-mechanical system which is difficult to construct an accurate mathematical model. Fuzzy logic seems to be appropriate for the HEV control problem. In this paper, a fuzzy logic control strategy (FLCS) is developed for a series hybrid electric vehicle designed for campus and gymnasium. Based on the state-of-charge (SOC) of the batteries and the power information, the power required by the vehicle is split between the engine/generator set and the batteries instantaneously by the FLCS. The SOC of the batteries can be maintained always at a high level and the engine can steadily work in its high efficiency area. A forward simulation model for the vehicle is established, and both off-line and real-time simulations are performed. Simulation results show that the FLCS can realize constant SOC control, and fuel consumption and emissions are also considered by the FLCS.

Published in:

2008 IEEE International Conference on Automation and Logistics

Date of Conference:

1-3 Sept. 2008