A regenerative braking control strategy for electric vehicle with four in-wheel motors

被引:0
|
作者
Xu, Wei [2 ]
Zhao, Haiyan [1 ,2 ]
Ren, Bingtao [2 ]
Chen, Hong [1 ,2 ]
机构
[1] State Key Lab Automot Simulat & Control, Changchun 130025, Peoples R China
[2] Jilin Univ, Dept Control Sci & Engn, Changchun 130025, Peoples R China
基金
中国国家自然科学基金;
关键词
electric vehicle; regenerative braking; model predictive control; optimal control; SYSTEM;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Regenerative braking control technology of electric vehicle plays a vital role in automotive energy-saving and environmental protection. Actually, there are two important aspects included in regenerative braking control. First and foremost is to maintain the vehicle safety during the braking process, and secondly is to maximize the energy recovery and minimize the energy consumption as far as possible. This paper proposes a regenerative braking control strategy to meet the above two aspects. In this research, the electric vehicle is assumed to keep straight line driving with a driver. First, according to the desired braking torques of the driver during braking process, the brake torque on front and rear axle respectively are allocated based on the tire load ratio, which makes sure that maximizing the use of tire adhesion during deceleration. Second, in order to deal with multi-objections and constraints for maximizing the energy recovery and minimizing the energy consumption, an model predictive controller is designed to distribute the brake torque between the hydraulic brake mode and the electric motor brake mode. In the end, the effectiveness of the proposed strategy is verified through the simulations of the electric vehicle model with four individually driven in-wheel motors based on Matlab/Simulink and AMESim software.
引用
收藏
页码:8671 / 8676
页数:6
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