A novel traction control strategy for an electric bus
by Changcheng Yin; Zhongyi Mei; Ying Feng; Liang Tang
International Journal of Vehicle Performance (IJVP), Vol. 10, No. 2, 2024

Abstract: The traction control system (TCS) of an electric vehicle is the key to ensuring sufficient stability when the vehicle starts with a large throttle opening. Therefore, a novel control method for the TCS of a single-motor, non-fully driven electric vehicle is proposed in this paper. First, to obtain the road type and optimal slip rate of the driving wheels, an extended Kalman filter (EKF) is used to estimate the gradient and total mass of the vehicle, and an unscented Kalman filter (UKF) is used to estimate the road adhesion coefficient. Second, a TCS controller based on the road type and optimal slip rate of the driving wheels is established for coordinated control of the motor torque and brake pressure, including a brake controller for compensating the load on the side with a lower adhesion coefficient on split roads, a model predictive control (MPC) torque controller for wheel slip control, and an additional torque controller for compensating the torque required by crossing roads. Finally, the effectiveness and accuracy of this method are proven by a joint simulation in TruckSim and MATLAB/Simulink. The slip rate of the driving wheels can indeed be kept near the optimal slip rate on various pavements.

Online publication date: Tue, 02-Apr-2024

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Vehicle Performance (IJVP):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com