Estimation of vehicle sideslip angle and individual tyre-road forces based on tyre friction circle concept

Hui Lu, Qingwei Liu, Yue Shi, F. Yu
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引用次数: 4

Abstract

The real-time information of vehicle sideslip angle and tyre-road forces of individual wheels can help advanced vehicle chassis control systems to enhance vehicle handling, stability and safety. But in practice, these states are difficult to measure directly for technical and economic reasons. In order to estimate these states, this paper proposes an observer based on Extended Kalman Filter (EKF) by using a 7-DOF vehicle model. According to the Dugoff's tyre model, the lateral force can be expressed by a function of the longitudinal force with the knowledge of tyre work condition. Based on this concept, the reference vehicle model is modified to identify the lateral forces of each braked wheel without the online information of vertical load and tyre-road friction coefficient. The simulation results indicate that the longitudinal and lateral forces of each wheel can be well estimated under combined cornering and braking condition.
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基于轮胎摩擦圈概念的车辆侧滑角和单个轮胎路力估计
车辆侧滑角和单个车轮的胎路力的实时信息可以帮助先进的车辆底盘控制系统提高车辆的操控性、稳定性和安全性。但在实践中,由于技术和经济原因,这些状态很难直接衡量。为了估计这些状态,本文利用7自由度车辆模型提出了一种基于扩展卡尔曼滤波(EKF)的观测器。根据Dugoff轮胎模型,在了解轮胎工况的情况下,横向力可以表示为纵向力的函数。在此基础上,对参考车辆模型进行修正,在不考虑垂直载荷和轮胎-路面摩擦系数在线信息的情况下,识别各制动车轮的侧向力。仿真结果表明,该方法可以很好地估计出转弯和制动联合工况下各车轮的纵向和横向作用力。
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来源期刊
International Journal of Vehicle Autonomous Systems
International Journal of Vehicle Autonomous Systems Engineering-Automotive Engineering
CiteScore
1.30
自引率
0.00%
发文量
0
期刊介绍: The IJVAS provides an international forum and refereed reference in the field of vehicle autonomous systems research and development.
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