Integrated Control Strategy of Active Front-Wheel Steering and Active Suspension Based on 3-D Piecewise Affine Tire Model

IF 8.3 1区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Transactions on Transportation Electrification Pub Date : 2025-01-20 DOI:10.1109/TTE.2025.3531388
Jia Tian;Shu Wang;Xuan Zhao;Yajin Li;Zichen Zheng;Haichuan Zhang
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Abstract

In order to realize the multiobjective cooperative optimization control of vehicle lateral stability, roll safety, and ride comfort, this article proposes an integrated control strategy of active front-wheel steering (AFS) system and active suspension system (ASS) based on a 3-D piecewise affine (PWA) tire model for distributed hub motor-driven electric vehicles. First, a 14 degrees of freedom (14-DOF) vehicle dynamics simulation model, accounting for the unbalanced electromagnetic force (EMF) of the hub motor, is established. Then, in order to improve the modeling accuracy of the lateral controller, the PWA method is used to establish a 3-D PWA tire model based on the lateral force, tire slip angle, and vertical load, and a mixed-logic dynamic (MLD) model is established to design an AFS controller based on hybrid model predictive control (hMPC). Additionally, an ASS controller based on dual-model predictive control (DMPC) is designed to address the influence of the EMF generated by the hub motor on the suspension system and tires. The coordination strategy of the AFS and the ASS based on the front wheel angle, $\beta -\dot {\beta }$ phase plane, and lateral load transfer rate (LTR) is established. The test results of the driver-in-the-loop simulation have verified the superiority of the control strategy proposed, which significantly improves the vehicle’s active safety under high speed with low adhesion and high speed with large steering conditions.
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基于三维分段仿射轮胎模型的主动前轮转向与主动悬架集成控制策略
为了实现车辆横向稳定性、侧倾安全性和平顺性的多目标协同优化控制,提出了一种基于三维分段仿射(PWA)轮胎模型的分布式轮毂电动汽车主动前轮转向(AFS)系统和主动悬架系统(ASS)集成控制策略。首先,建立了考虑轮毂电机不平衡电磁力的14自由度汽车动力学仿真模型;然后,为了提高横向控制器的建模精度,采用PWA方法建立了基于横向力、轮胎滑移角和垂直载荷的三维PWA轮胎模型,并建立了混合逻辑动态(MLD)模型,设计了基于混合模型预测控制(hMPC)的AFS控制器。此外,设计了基于双模型预测控制(DMPC)的自动驾驶系统控制器,以解决轮毂电机产生的电动势对悬架系统和轮胎的影响。建立了基于前轮转角、$\beta -\dot {\beta }$相平面和横向载荷传递率(LTR)的自动制动系统与自动辅助系统协调策略。驾驶员在环仿真试验结果验证了所提控制策略的优越性,显著提高了车辆在高速低附着和高速大转向工况下的主动安全性。
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来源期刊
IEEE Transactions on Transportation Electrification
IEEE Transactions on Transportation Electrification Engineering-Electrical and Electronic Engineering
CiteScore
12.20
自引率
15.70%
发文量
449
期刊介绍: IEEE Transactions on Transportation Electrification is focused on components, sub-systems, systems, standards, and grid interface technologies related to power and energy conversion, propulsion, and actuation for all types of electrified vehicles including on-road, off-road, off-highway, and rail vehicles, airplanes, and ships.
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