基于多模式车辆动力学的路粘合系数的细分估计 融合在一个大的转向角度范围
Haobin Jiang1, Tonghui Shen1, Bin Tang1
1School of Automotive Engineering Research Institute, Jiangsu University, Zhenjiang 212013, China.
Sensors (Basel, Switzerland)
|April 12, 2025
概括
本研究引入了一种新的细分方法,用于估计方向导电系统中的道路表面摩擦系数. 该方法确保了所有转向角度的准确实时摩擦估计,改善了车辆动态控制.
科学领域:
- 汽车工程 汽车工程
- 控制系统 控制系统
- 车辆动力学 车辆动力学
背景情况:
- 准确的路面摩擦系数估计对于车辆动态控制系统至关重要.
- 现有的方法在较大的转向角度下与非线性轮胎特性作斗争.
- 转向式系统需要精确估计各种方向盘输入的摩擦.
研究的目的:
- 开发适用于steer-by-wire系统全转向角度范围的道路粘附系数的细分估计方法.
- 为了克服当前方法的局限性,在大转向角度下准确估计摩擦.
- 通过改进摩擦估计来提高车辆动力控制的性能和安全性.
主要方法:
- 一种细分的方法,使用改进的无气味卡尔曼波器 (AUKF) 进行小转向角度 (<2.8°).
- 对于大转向角度 (>3.2°) 的机架力扩张状态观察器,利用转向逐线执行器动力学.
- 两种方法的估计结果融合,使用中间角度 (2.8°-3.2°) 的平均值.
主要成果:
- 拟议的方法在所有转向角度的道路表面摩擦系数估计中实现了不到10%的相对误差.
- 通过Matlab/Simulink,CarSim共模拟和硬件在循环中的实验进行验证.
- 显著减少了轮胎非线性对估计准确性的影响.
结论:
- 分段估计策略有效地提高了方向导系统的道路粘附系数估计准确度.
- 这种方法在整个转向角度范围内提供了高精度的摩擦系数估计.
- 对于提高车辆动态控制系统的能力至关重要.
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