Skip to the main content

Transactions of FAMENA, Vol. 46 No. 1, 2022.

Original scientific paper

https://doi.org/10.21278/TOF.461019420

Control Strategy and Simulation of the Regenerative Braking of an Electric Vehicle Based on an Electromechanical Brake

Shuwen Zhou ; College of Mechanical Engineering and Automation, Northeastern University, Shenyang Liaoning, China
Qingyun Wang ; College of Mechanical Engineering and Automation, Northeastern University, Shenyang Liaoning, China
Jinshuang Liu ; College of Mechanical Engineering and Automation, Northeastern University, Shenyang Liaoning, China

Full text: english pdf 1.170 Kb

page 23-40

downloads: 889

cite

Abstract

The electromechanical brake (EMB) has very broad prospects for application in the automotive industry, especially in small- and medium-sized vehicles. To extend the endurance range of pure electric vehicles, a regenerative braking control strategy combined with an electromechanical brake model is designed that divides the braking modes according to the braking intensity and controls the regenerative braking force based on fuzzy theory. Considering a front-wheel-drive pure electric vehicle equipped with a floating clamp disc electromechanical brake as the research object, a structural form of electromechanical brake is proposed and a mathematical model of the electromechanical brake is built. Combined with the relevant influencing factors, the regenerative braking force is limited to a certain extent, and the simulation models of the electromechanical brake and the regenerative braking force distribution control strategy are built in MATLAB/Simulink. Co-simulation in MATLAB and AVL CRUISE software is conducted. The simulation results demonstrate that the braking energy recovery rate of the whole vehicle with the fuzzy control strategy put forward in this paper is 28.9% under mild braking and 34.11% under moderate braking. The control method substantially increases the energy utilization rate.

Keywords

Regenerative braking; Electromechanical brake device; Co-simulation; Pure electric vehicle

Hrčak ID:

275907

URI

https://hrcak.srce.hr/275907

Publication date:

29.4.2022.

Visits: 2.119 *