华南理工大学学报(自然科学版) ›› 2025, Vol. 53 ›› Issue (6): 44-55.doi: 10.12141/j.issn.1000-565X.240330

• 车辆工程 • 上一篇    下一篇

分布式驱动电动车辆驱动防滑多模式控制策略设计

朱绍鹏1,5  毛竞扬1  刘栋青2   殷玉明3  陈慧鹏4  许烨开1   

  1. 1. 浙江大学动力机械及车辆工程研究所,浙江 杭州 310027;

    2. 北京全路通信信号研究设计院集团有限公司,北京 100070;

    3. 浙江工业大学机械工程学院,浙江 杭州 310023;

    4. 杭州电子科技大学机械工程学院,浙江 杭州 310018;

    5. 浙江大学嘉兴研究院,浙江 嘉兴 314011

  • 出版日期:2025-06-25 发布日期:2024-09-27

Design of Acceleration Slip Regulation Multi-Mode Control Strategy of Distributed Drive Electric Vehicle

ZHU Shaopeng1,5  MAO Jingyang1  LIU Dongqing2  YIN Yuming3  CHEN Huipeng4  XU Yekai1   

  1. 1. Power Machinery & Vehicle Engineering Institute, Zhejiang University, Hangzhou 310012, China;

    2. CRSC Research & Design Institute Group Co., Ltd., Beijing 100070, China;

    3. College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou 310023;

    4. School of Mechanical Engineering, Hangzhou Dianzi University, Hangzhou 310018, China;

    5. Jiaxing Research Institute, Zhejiang University, Jiaxing 314011

  • Online:2025-06-25 Published:2024-09-27

摘要:

分布式驱动电动车辆可以独立、精准地控制各车轮的驱动转矩来实现驱动防滑控制,但单一的驱动防滑策略难以满足多种复杂行驶工况要求,不能保证车辆驱动综合性能最优。因此,本文提出一种响应快速、控制精准适应多种复杂工况的驱动防滑多模式控制策略。首先,针对不同工况下的性能要求,基于七自由度分布式驱动车辆模型设计了相应的驱动模式及模式切换策略。其次,基于Burckhardt轮胎模型6条标准路面的附着特性曲线,利用优化的线性插值算法,提出了路面识别融合算法计算最优滑移率,并以此作为控制目标设计了非线性整定的PID控制器实现动力分配控制及切换。最后,建立了CarSim整车模型和Matlab/Simulink驱动防滑控制模型,在低附着路面、对接路面、对开路面、低附着坡道和对开坡道上进行了联合仿真验证。仿真结果表明,路面识别策略能精确地辨识道路的附着系数,驱动防滑策略在不同工况下都能快速响应并在不同模式之间准确切换,兼顾了动力性与稳定性,有效提高了驱动防滑性能。


关键词: 分布式驱动, 电动车辆, 驱动防滑控制, 路面识别

Abstract:

Distributed drive electric vehicles can independently and accurately control the driving torque of each wheel to achieve acceleration slip regulation control. However, a single acceleration slip regulation strategy is difficult to meet the requirements of various complex driving conditions, and cannot guarantee the optimal comprehensive driving performance of the vehicle. Therefore, an acceleration slip regulation multi-mode control strategy that responds quickly and controls accurately is proposed to adapt to various complex working conditions. Firstly, addressing the performance requirements under different driving conditions, corresponding drive modes and switching strategy are designed based on the seven-degree-of-freedom distributed drive vehicle model. Secondly, based on the adhesion characteristic curves of six standard road surfaces using the Burckhardt tire model, and utilizing an optimized linear interpolation algorithm, a road surface recognition fusion algorithm is proposed to calculate the optimal slip ratio, which is used as the control target to design a PID controller with nonlinear parameter tuning for power distribution control and switching. Finally, a CarSim vehicle model and an acceleration slip regulation control model in Matlab/Simulink are established and co-simulation verification was conducted on low adhesion road, joint road, bisectional road, low adhesion slope, and bisectional slope. Simulation results show that the road surface recognition strategy can accurately identify the adhesion coefficient of the road, the acceleration slip regulation control strategy can quickly respond and accurately switch between different modes under different working conditions, balancing dynamics performance and stability performance, and effectively improve anti-skid performance.

Key words: distributed drive, electric vehicle, acceleration slip regulation control, road surface recognition