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A diagnosis-based approach for tire-road forces and maximum friction estimation

机译:基于诊断的轮胎路面力和最大摩擦力估算方法

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A new approach to estimate vehicle tire forces and road maximum adherence is presented. Contrarily to most of the previous works on this subject, it is not an asymptotic observer-based estimation, but a combination of elementary diagnosis tools and new algebraic techniques for filtering and estimating derivatives of noisy signals. In a first step, instantaneous friction and lateral forces will be computed within this framework. Then, extended braking stiffness concept is exploited to detect which braking efforts allow to distinguish a road type from another. A weighted Dugoff model is used during these 'distinguishable' intervals to estimate the maximum friction coefficient. Very promising results have been obtained in noisy simulations and real experimentations for most of the driving situations.
机译:提出了一种估算车辆轮胎力和道路最大附着性的新方法。与以前有关该主题的大多数工作相反,它不是基于渐近观察者的估计,而是基本诊断工具和新的代数技术的组合,用于过滤和估计噪声信号的导数。第一步,将在此框架内计算瞬时摩擦力和侧向力。然后,利用扩展的制动刚度概念来检测哪些制动作用可将道路类型与其他道路类型区分开。在这些“可区分”间隔期间使用加权Dugoff模型来估计最大摩擦系数。对于大多数驾驶情况,在嘈杂的模拟和实际实验中已经获得了非常有希望的结果。

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