Electromechanical Coupling Braking Control Strategy Considering Vertical Vibration Suppression for Vehicles Driven by In-Wheel Motors

被引:16
作者
Xing, Chao [1 ]
Zhu, Yueying [1 ]
Wu, Hao [2 ]
机构
[1] Tianjin Univ Sci & Technol, Coll Mech Engn, Tianjin 300222, Peoples R China
[2] Tianjin Key Lab Integrated Design & Online Monito, Tianjin 300222, Peoples R China
基金
中国国家自然科学基金;
关键词
Electric vehicle (EV); electromechanical coupling braking system (CBS); energy recovery; multiobjective optimization; switched reluctance motor (SRM); ELECTRIC VEHICLE; MULTIOBJECTIVE OPTIMIZATION; DESIGN; ROAD; SYSTEM; SAFETY;
D O I
10.1109/TMECH.2022.3188342
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
To improve the comprehensive performance of the electromechanical coupling braking system (CBS) and suppress vertical vibration caused by the unbalanced radial forces of in-wheel motors, a CBS control strategy based on multiobjective optimization on the control parameters of switched reluctance motor (SRM) drive system is proposed in this article. First, the electromagnetic coupling and eccentricity characteristics of SRM are analyzed, and a multiobjective optimization strategy (MOOS) for the SRM-drive system is proposed to comprehensively improve the endurance mileage, battery life, and braking comfort. Then, switch angles and required regenerative braking force are optimized by the combination of MOOS and genetic algorithm, and the corresponding optimized controllers are established. Furthermore, the braking performance of optimized CBS is analyzed and compared to the other three single-objective optimization strategies (SOOSs), and the results indicate that the control strategy with MOOS can improve vehicle comprehensive performance, although the strategies with SOOSs have a great improvement for corresponding objectives. Meanwhile, based on the strategies, comprehensive switchable control logic is proposed to improve the overall performance of vehicles under different braking modes. Finally, the results from the simulation and processor in loop test are analyzed and compared, which validates the real-time performance and effectiveness of the control strategy.
引用
收藏
页码:5701 / 5711
页数:11
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