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Identification of Tire Model Parameters Through Full Vehicle Experimental Tests

机译:通过整车实验测试识别轮胎模型参数

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Individual tire model parameters are traditionally derived from expensive component indoor laboratory tests as a result of an identification procedure minimizing the error with respect to force and slip measurements. These parameters are then transferred to vehicle models used at a design stage to simulate the vehicle handling behavior. A methodology aimed at identifying the Magic Formula-Tyre (MF-Tyre) model coefficients of each individual tire for pure cornering conditions based only on the measurements carried out on board vehicle (vehicle sideslip angle, yaw rate, lateral acceleration, speed and steer angle) during standard handling maneuvers (step-steers) is instead presented in this paper. The resulting tire model thus includes vertical load dependency and implicitly compensates for suspension geometry and compliance (i.e., scaling factors are included into the identified MF coefficients). The global number of tests (indoor and outdoor) needed for characterizing a tire for handling simulation purposes can thus be reduced. The proposed methodology is made in three subsequent steps. During the first phase, the average MF coefficients of the tires of an axle and the relaxation lengths are identified through an extended Kalman filter. Then the vertical loads and the slip angles at each tire are estimated. The results of these two steps are used as inputs to the last phase, where, the MF-Tyre model coefficients for each individual tire are identified through a constrained minimization approach. Results of the identification procedure have been compared with experimental data collected on a sport vehicle equipped with different tires for the front and the rear axles and instrumented with dynamometric hubs for tire contact forces measurement. Thus, a direct matching between the measured and the estimated contact forces could be performed, showing a successful tire model identification. As a further verification of the obtained results, the identified tire model has also been compared with laboratory tests on the same tire. A good agreement has been observed for the rear tire where suspension compliance is negligible, while front tire data are comparable only after including a suspension compliance compensation term into the identification procedure.
机译:单个轮胎模型参数传统上是从昂贵的组件室内实验室测试中得出的,这是识别过程的结果,该过程将有关力和滑移测量的误差降至最低。然后将这些参数传输到在设计阶段使用的车辆模型,以模拟车辆的操控行为。一种方法,旨在仅基于在车辆上进行的测量(车辆侧滑角,偏航角速度,横向加速度,速度和转向角),针对纯转弯情况识别每个轮胎的Magic Formula-Tyre(MF-Tyre)模型系数。 )而是在本文中介绍了在标准处理过程中的操作(逐步转向)。因此,所得到的轮胎模型包括垂直载荷依赖性,并且隐式地补偿了悬架的几何形状和柔度(即,将比例因子包括在识别出的MF系数中)。因此,可以减少表征轮胎以进行模拟目的所需的全部测试(室内和室外)。所提出的方法是在随后的三个步骤中完成的。在第一阶段,通过扩展的卡尔曼滤波器确定车轴轮胎的平均MF系数和松弛长度。然后估计每个轮胎的垂直载荷和滑移角。这两个步骤的结果用作最后一个阶段的输入,在此阶段,通过约束最小化方法确定每个单独轮胎的MF-Tyre模型系数。识别过程的结果已与在配备有用于前轴和后轴的不同轮胎并装有测力轮毂以测量轮胎接触力的运动车辆上收集的实验数据进行了比较。因此,可以在测量的和估计的接触力之间进行直接匹配,从而显示出成功的轮胎模型识别。为了进一步验证所获得的结果,还将识别出的轮胎模型与同一轮胎上的实验室测试进行了比较。对于后轮胎,悬挂柔度可忽略不计,已经观察到很好的协议,而仅在将悬挂柔度补偿项纳入识别程序后,前轮胎数据才具有可比性。

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