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

Use of Fuzzy Controller for Hybrid Traction Control System in Hybrid Electric Vehicles

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)
Jianlong Zhang ; Inst. of Automobile Eng., Shanghai Jiao Tong Univ. ; Chengliang Yin ; Jianwu Zhang

In the normal condition, the front wheels follow the control trace of the driver and rear wheels follow the direction of the vehicle. The vehicle would spin and lose the control trace of the driver if the traction force is greater than the friction force. Therefore, a vehicle should maintain an adequate slip ratio of the tires and follow the control trace of the driver. This paper described a fuzzy controller for hybrid traction control system in hybrid electric vehicles (HEVs) that prevented the spinning of the drive wheels during take-off and acceleration through targeted, brief brake impulses in motor torque. The task is to have the fuzzy supervisory controller generate the electric brake torque, for motor of a HEV. The electric brake torque is treated as reference input regenerative braking torque, for lower level control modules. When these lower level motor controller tracks its reference input, the desired slip ratio, can be reduced. Emergency lane change, tire slip ratio change simulations and experimental results were performed to show the effectiveness of the control. The efficiency and easy implementation of the fuzzy controller lead to the conclusion that fuzzy logic is an adequate and promising framework for hybrid traction control system in hybrid electric vehicles

Published in:

Mechatronics and Automation, Proceedings of the 2006 IEEE International Conference on

Date of Conference:

25-28 June 2006

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.