Mechanism Analysis and Control of Lateral Instability of 4WID Vehicle Based on Phase Plane Analysis Considering Front Wheel Angle

Author:

Tang Haoran1ORCID,Bei Shaoyi2,Li Bo3ORCID,Sun Xiaoqiang3,Huang Chen3,Tian Jing3,Hu Hongzhen3ORCID

Affiliation:

1. College of Mechanical Engineering, Jiangsu University of Technology, Changzhou 213001, China

2. College of Automobile and Traffic Engineering, Jiangsu University of Technology, Changzhou 213001, China

3. Automotive Engineering Research Institute, Jiangsu University, Zhenjiang 212013, China

Abstract

The current vehicle stability judgment methods in the stability control of distributed drive electric vehicles focuses on using the phase plane method, but the existing phase plane stability boundary delineation methods ignore the influence of the front wheel rotation angle. Therefore, a new phase plane partitioning method (NPPPM) is proposed in this paper, and a new phase plane stability domain library is established. Based on this, the direct yaw moment control of distributed drive electric vehicle through phase plane analysis is established. Firstly, the influence of the front wheel turning angle on the phase plane is considered in the design of the phase plane stability boundary, and a new stability boundary function is fitted by the least squares method. This approach avoids the lateral instability caused by too large a front-wheel turning angle and improves the accuracy of vehicle stability judgment. Next, a hierarchical direct transverse moment controller is constructed using Matlab/Simulink. Among them, the upper layer controller adopts sliding mode control with the sideslip angle error of the center of mass as the tracking target. The lower controller adopts the optimal configuration algorithm with the optimal road adhesion utilization as the objective function. Finally, the effectiveness and superiority of the proposed phase plane partitioning method (NPPPM) for distributed drive electric vehicles with sinusoidal and angular order inputs for the front wheel rotation angle are verified by simulation.

Funder

National Natural Science Foundation of China

Major Program of Natural Science Foundation of the Jiangsu Higher Education of China

Changzhou International Science and Technology Cooperation Fund

Postgraduate Research and Practice Innovation Program of Jiangsu Province

Publisher

MDPI AG

Subject

Control and Optimization,Control and Systems Engineering

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