Estimation of road profile variability from measured vehicle responses

When assessing the statistical variability of fatigue loads acting throughout the life of a vehicle, the question of the variability of road roughness naturally arises, as both quantities are strongly related. For car manufacturers, gathering information on the environment in which vehicles evolve is a long and costly but necessary process to adapt their products to durability requirements. In the present paper, a data processing algorithm is proposed in order to estimate the road profiles covered by a given vehicle, from the dynamic responses measured on this vehicle. The algorithm based on Kalman filtering theory aims at solving a so-called inverse problem, in a stochastic framework. It is validated using experimental data obtained from simulations and real measurements. The proposed method is subsequently applied to extract valuable statistical information on road roughness from an existing load characterisation campaign carried out by Renault within one of its markets.     

Speed-independent vibration-based terrain classification for passenger vehicles

Terrain physical characteristics can have a significant impact on passenger vehicle handling, ride quality, and stability. Here, an algorithm is presented to classify terrain using a single suspension-mounted accelerometer. The algorithm passes a measured acceleration signal through a dynamic vehicle model to estimate the terrain profile, and then extracts spatial frequency components of this estimated profile. A method is introduced to identify and remove terrain impulses from the profile that are caused by ruts and potholes. Finally, a supervised support vector machine is employed to classify profile segments as members of pre-defined classes (such as asphalt, brick, gravel, etc.). The classification algorithm is validated with experimental data collected with a passenger vehicle driving in real-world conditions. The algorithm is shown to classify multiple terrain types with reasonable accuracy at a range of typical automotive speeds. It is also shown that the removal of terrain impulses prior to classification improves classifier performance.     

基于虚拟试验场的强化路面建模方法研究

虚拟试验场是依据某汽车试验场建立的,可用于在仿真环境下对车辆进行路试试验。虚拟试验场的路面建模需要保证具有实际路面特性,文章针对虚拟试验场建立中强化路面的建立问题进行研究,提出一种方法,可以准确的建立虚拟试验场的强化路面。利用双轨路面计测量强化路面的不平度,对测试数据进行分析处理,保证测量结果的准确性,应用试验场规则路面的详细尺寸信息建立模拟路面。对于规则强化路面,应用实际尺寸和技术规范等信息建立,对于不规则强化路面,利用实际测量的路面不平度,通过功率谱估计、路面等级分析、路面不平度数字化等建立模拟路面。通过相关性分析,保证所建立的模拟路面的准确性和可信性。     

Road roughness estimation based on discrete Kalman filter with unknown input

ABSTRACT

The road roughness acts as a disturbance input to the vehicle dynamics, and causes undesirable vibrations associated with the ride and handing characteristics. Furthermore, the accurate measurement of road roughness plays a key role in better understanding a vehicle dynamic behaviour and active suspension control systems. However, the direct measurement by laser profilometer or other distance sensors are not trivial due to technical and economic issues. This study proposes a new road roughness estimation method by using the discrete Kalman filter with unknown input (DKF-UI). This algorithm is built on a quarter-car model and uses the measurements of the wheel stroke (suspension deflection), and the acceleration of the sprung mass and unsprung mass. The estimation results are compared to the measurements by laser profilometer in-vehicle test.     

桥面不平顺对下承式系杆拱桥振动影响的试验和模拟研究

为了获得下承式系杆拱桥的汽车荷载冲击系数，在桥面间隔布置橡胶减速条带以形成周期性的不平顺输入，对下承式钢管混凝土系杆拱桥的动挠度进行现场实测。结合自编的车桥耦合（VBI）单元，建立车-桥耦合振动三维有限元分析模型，通过与实测结果对比验证VBI单元的正确性。在此基础上，引入另外3座标准拱桥以形成涵盖4种跨径的下承式系杆拱桥研究对象，输入规范规定的A~D级不平顺，研究车速、车重和桥梁基频对系梁冲击系数的影响。研究结果表明：汽车通过周期间隔布置的减速带时会形成稳态激振，当激振频率接近桥梁的前2阶基频时，引起的系梁动挠度响应最大；系梁的汽车荷载冲击系数随着桥梁基频的增加呈现出先增大后减小的趋势，当小汽车（总重低）行驶于差桥面（D级不平顺）时，规范值明显低估了系梁的冲击系数。     

表面粗糙度对冰路面上滑动轮胎摩擦牵引力影响的研究

依据能量守恒定律和冰的摩擦熔化理论，考虑冰面和轮胎胎面的表面粗糙度，建立了摩擦界面冰完全熔化条件下轮胎的牵引力预测模型。给出了预测模型中接地胎面温度的选择原则。研究表明，该模型可较好地预测不同条件下轮胎在冰路面上的摩擦牵引力，表面粗糙度的影响随车辆行驶速度的提高而增大。     

沥青路面平整度的影响因素

通过对衢窑高速公路沥青路面的实地调查,找出影响沥青路面平整度的各种因素,并通过因果分析提出了相应对策.     

车辆-道路系统垂向耦合动力分析模型

车辆在道路行驶过程中,车辆的振动与道路是相互作用和相互耦合的。把车辆简化为两自由度振动体系,将道路离散为多层体系的有限元模型,将车辆、道路视为一个整体的系统,车辆和道路分别是整个系统的一个子系统,建立了车辆-道路垂向耦合动力分析模型,推导出了车辆-道路系统的动力平衡方程组,以期为高速公路车辆与路基动力相互作用的进一步深入研究提供参考。     

高速铁路轮轨噪声预测分析

基于高速铁路轮轨噪声机理,对高速铁路轮轨滚动噪声预测方法进行分析。建立高速铁路轮轨噪声预测分析模型,为轮轨噪声的控制提供必要的依据。在探讨列车—轨道相互作用关系、轮轨表面粗糙度、轮轨接触滤波、噪声辐射比、轮轨系统噪声辐射、地面的声反射等问题的基础上,对我国快速客运专线的轮轨噪声进行了数值仿真预测。给出轮轨噪声的频谱特性、距离衰减特性及随运行速度的变化规律。     

沥青砼路面的平整度控制

沥青路面的平整度控制是沥青路面质量控制水平高低的的重要标志．结合施工实践，详细阐述了基层和面层的质量控制方法和要点，提出了一些解决办法．