汽车工程 ›› 2021, Vol. 43 ›› Issue (5): 721-729.doi: 10.19562/j.chinasae.qcgc.2021.05.011

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基于相平面的分布式驱动电动汽车稳定性控制

钟龙飞,彭育辉(),江铭   

  1. 福州大学机械工程及自动化学院,福州 350116
  • 收稿日期:2020-10-14 修回日期:2021-01-04 出版日期:2021-05-25 发布日期:2021-05-18
  • 通讯作者: 彭育辉 E-mail:pengyuhui@fzu.edu.cn
  • 基金资助:
    福州大学科技创新项目(53006311)

Stability Control of Distributed Driven Electric Vehicle Based on Phase Plane

Longfei Zhong,Yuhui Peng(),Ming Jiang   

  1. School of Mechanical Engineering and Automation,Fuzhou University,Fuzhou 350116
  • Received:2020-10-14 Revised:2021-01-04 Online:2021-05-25 Published:2021-05-18
  • Contact: Yuhui Peng E-mail:pengyuhui@fzu.edu.cn

摘要:

为提高分布式驱动电动汽车的操纵稳定性,提出一种基于相平面法的行驶稳定性控制策略。首先,建立非线性车辆2自由度模型,获得不同路面附着系数下车辆质心侧偏角相平面稳定域边界模型。其次,基于质心侧偏角相平面设计分区域控制器,当车辆处于稳定域内时,采用模糊神经网络控制器来决策横摆力矩,使车辆跟随目标变量;当车辆处于稳定域外时,设计失稳度和模糊神经网络联合控制器决策总横摆力矩,使车辆恢复稳定。最后,基于Simulink和CarSim仿真平台在蛇行绕桩和双移线工况下对稳定性控制方法进行仿真,并进行实车测试验证,结果证明了本文中所提控制策略的可行性和有效性。

关键词: 电动汽车, 行驶稳定性, 相平面, 分布式驱动, 模糊神经网络, 分区域控制器

Abstract:

To improve the handling stability of a distributed driven electric vehicle, a driving stability control strategy based on phase plane method is proposed. Firstly, a two degree?of?freedom nonlinear model for vehicle simulation is established to obtain the boundary model of phase plane stability region for vehicle centroid slip angle with different tire?road friction coefficients. Secondly, a regional controller based on the phase plane of centroid sideslip angle is designed to achieve the stability of vehicle. When the vehicle runs in the stability region, the yaw momentum is determined by the fuzzy neural network controller to make the vehicle follow the target variable. When the vehicle runs out of the stability region, the yaw momentum is determined by a combined controller of instability and fuzzy neural network to restore the stability of the vehicle. Finally, by use of Simulink and CarSim software, the stability control method is verified by simulation and on?road experiment under the condition of snaking driving around pile and double line change. The experimental results reveal the feasibility and effectiveness of the proposed control strategy.

Key words: electric vehicle, driving stability, phase plane, distributed driven, fuzzy neural network, regional controner