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    Estimation of Road Friction Coefficient Based on the Brush Model

    Source: Journal of Dynamic Systems, Measurement, and Control:;2011:;volume( 133 ):;issue: 004::page 41006
    Author:
    Osamu Nishihara
    ,
    Kurishige Masahiko
    DOI: 10.1115/1.4003266
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Road friction coefficients are highly effective for advanced vehicle control technologies, although the estimation at four individual tires has not been practically used for ordinary vehicles. This study describes the essential relation between the tire forces and the aligning torque that can be rearranged as an estimation equation for the grip margin. The grip margin is readily convertible into the friction coefficient. The brush model is reanalyzed, beginning from the conventional simple physical model, and intrinsic expressions are derived. The grip margin, which is defined as the residual tire force normalized by the radius of friction circle, was estimated using three components of the tire forces and the aligning torque. A simple cubic equation is obtained as a grip margin equation for an isotropic brush model. Previous studies assumed an anisotropic brush model and obtained an imperfect quintic equation. In the present study, a new term is added to the algebraic equation, which was shown to be consistent with the isotropic model. The solutions to the equations are approximated by Chebyshev polynomials. The estimation methods are tested by numerical simulations using CarSim, which is a popular vehicle simulation software application. The estimated friction coefficients agree well with the values that are set during each run of the simulations, especially for the cases of smaller grip margins and lower friction conditions.
    keyword(s): Force , Friction , Roads , Tires , Torque , Equations , Braking AND Stress ,
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      Estimation of Road Friction Coefficient Based on the Brush Model

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    https://yetl.yabesh.ir/yetl1/handle/yetl/145694
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    • Journal of Dynamic Systems, Measurement, and Control

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    contributor authorOsamu Nishihara
    contributor authorKurishige Masahiko
    date accessioned2017-05-09T00:43:00Z
    date available2017-05-09T00:43:00Z
    date copyrightJuly, 2011
    date issued2011
    identifier issn0022-0434
    identifier otherJDSMAA-26556#041006_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/145694
    description abstractRoad friction coefficients are highly effective for advanced vehicle control technologies, although the estimation at four individual tires has not been practically used for ordinary vehicles. This study describes the essential relation between the tire forces and the aligning torque that can be rearranged as an estimation equation for the grip margin. The grip margin is readily convertible into the friction coefficient. The brush model is reanalyzed, beginning from the conventional simple physical model, and intrinsic expressions are derived. The grip margin, which is defined as the residual tire force normalized by the radius of friction circle, was estimated using three components of the tire forces and the aligning torque. A simple cubic equation is obtained as a grip margin equation for an isotropic brush model. Previous studies assumed an anisotropic brush model and obtained an imperfect quintic equation. In the present study, a new term is added to the algebraic equation, which was shown to be consistent with the isotropic model. The solutions to the equations are approximated by Chebyshev polynomials. The estimation methods are tested by numerical simulations using CarSim, which is a popular vehicle simulation software application. The estimated friction coefficients agree well with the values that are set during each run of the simulations, especially for the cases of smaller grip margins and lower friction conditions.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleEstimation of Road Friction Coefficient Based on the Brush Model
    typeJournal Paper
    journal volume133
    journal issue4
    journal titleJournal of Dynamic Systems, Measurement, and Control
    identifier doi10.1115/1.4003266
    journal fristpage41006
    identifier eissn1528-9028
    keywordsForce
    keywordsFriction
    keywordsRoads
    keywordsTires
    keywordsTorque
    keywordsEquations
    keywordsBraking AND Stress
    treeJournal of Dynamic Systems, Measurement, and Control:;2011:;volume( 133 ):;issue: 004
    contenttypeFulltext
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