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ROAD SURFACE FRICTION COEFFICIENT (MUE) DETERMINATION FOR TRACTION CONTROL SYSTEM

机译:路面摩擦系数(Mue)牵引力控制系统的测定

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Traction Control system (TCS) provides better drivability and acceleration performance on low friction surfaces. The TCS typically tries to maintain the slip to an optimum value, to maximize traction force by modifying engine torque and/or brake force intervention. However the optimum slip is not a constant value and varies depending upon the road surface and tire conditions. It is a challenging task to predict this value dynamically and adapt TCS under all driving situations. Typically, TCS operates around fixed set point for slip. This will be achieved by controlling the brakes and torque independently. This system will not be efficient since the target slip may differ for different road friction coefficient. Hence, it is important to determine the Coefficient of Friction (Mue) of the road, to set the target slip value at an optimum level, so that the maximum tractive force can be derived under all road conditions. This paper describes the method used for development of Traction Control System for an Indian SUV and the methodology used to test it in simulation environment. The defining step in this development program was to estimate the surface friction of road under various vehicle running conditions. The Mue detection strategy and TCS controller are developed using Model Based Development (MBD) approach in MATLAB Simulink. Strategy is validated in Model In Loop (MIL) environment. The results obtained are presented in the subsequent sections.
机译:牵引力控制系统(TCS)在低摩擦表面上提供更好的驾驶性和加速性能。 TCS通常试图将滑动保持为最佳值,通过改变发动机扭矩和/或制动力介入来最大化牵引力。然而,最佳滑动不是恒定值,并且根据道路表面和轮胎条件而变化。它是一个具有挑战性的任务,可以在所有驾驶情况下动态地预测该值并适应TCS。通常,TCS绕固定设定点进行操作。这将通过独立控制制动器并扭矩来实现。该系统不会有效,因为目标滑动对于不同的道路摩擦系数可能不同。因此,重要的是确定道路的摩擦系数(Mue),以在最佳水平下将目标滑动值设置为,使得可以在所有道路条件下导出最大牵引力。本文介绍了用于开发用于印度SUV的牵引力控制系统的方法和用于在仿真环境中测试它的方法。该开发计划中的定义步骤是在各种车辆运行条件下估计道路的表面摩擦。 Mue检测策略和TCS控制器是在Matlab Simulink中使用基于模型的开发(MBD)方法而开发的。策略在循环(MIL)环境中的模型中验证。所得结果在随后的部分中提出。

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