Open AccessSliding Mode Control Algorithm for Regenerative Braking of an Electric Bus with a Pneumatic Anti-lock Braking System
Author(s) -
Yiming Zhao,
Junzhi Zhang,
Chao Li,
Chengkun He
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/538/1/012067
Subject(s) - regenerative brake , threshold braking , engine braking , dynamic braking , electronic brakeforce distribution , retarder , automotive engineering , anti lock braking system , control theory (sociology) , braking chopper , matlab , braking system , sliding mode control , engineering , computer science , braking distance , lock (firearm) , control (management) , brake , voltage , mechanical engineering , electrical engineering , physics , nonlinear system , artificial intelligence , quantum mechanics , operating system
Equipped with regenerative braking system, electric vehicles have the function of coordinating regenerative braking and friction braking simultaneously in normal braking situations. However, the usual operation is withdrawing the regenerative braking when the anti-lock braking system (ABS) is triggered. In order to make full use of regenerative braking, this article focuses on the cooperative control between the regenerative braking and the pneumatic friction braking during emergency stops. A sliding mode control (SMC) algorithm for regenerative braking is proposed to control the electric motor and help improve the braking performance and braking comfort. The proposed control algorithm is validated in the MATLAB/Simulink environment. A maximum mean deceleration of 25.3% is achieved and the stopping distance is shortened by 13.2m comparing to the pure pneumatic ABS on the wet gravel road, which verifies the feasibility and effectiveness of the developed control algorithm greatly.