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A diagnosis-based approach for tire-road forces and maximum friction estimation
Authors:Jorge Villagra,Brigitte d&rsquo  André  a-Novel
Affiliation:a Centro de Automática y Robótica, UPM-CSIC, 28500 Arganda del Rey (Madrid), Spain
b Mines ParisTech, CAOR-Centre de Robotique, Mathématiques et Systèmes, 60 Bd St Michel, 75272 Paris Cedex 06, France
c INRIA-ALIEN & LIX (CNRS, UMR 7161), École polytechnique, 91128 Palaiseau, France
d L2S (CNRS, UMR 8506), Supélec & Université Paris-Sud, 3 rue Joliot-Curie, 91192 Gif-sur-Yvette, France
Abstract: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.
Keywords:Active safety   Friction estimation   Automotive vehicles   Nonlinear estimation   Derivatives of noisy signals
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