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Review Article | Open Access

A technical survey on tire-road friction estimation

Seyedmeysam KHALEGHIAN1( ), Anahita EMAMI2, Saied TAHERI1
 Center for Tire Research (CenTiRe), Department of Mechanical Engineering, Virginia Tech, Blacksburg, VA 24061, United States
 Department of Biomedical Engineering and Mechanics, Virginia Tech, Blacksburg, VA 24061, United States
Show Author Information

Abstract

Lack of driver’s knowledge about the abrupt changes in pavement’s friction and poor performance of the vehicle’s stability, traction, and ABS controllers on the low friction surfaces are the most important factors affecting car crashes. Due to its direct relation to vehicle stability, accurate estimation of tire-road friction is of interest to all vehicle and tire companies. Many studies have been conducted in this field and researchers have used different tools and have proposed different algorithms. This literature survey introduces different approaches, which have been widely used to estimate the friction or other related parameters, and covers the recent literature that contains these methodologies. The emphasize of this review paper is on the algorithms and studies, which are more popular and have been repeated several times. The focus has been divided into two main groups: experiment-based and model-based approaches. Each of these main groups has several sub-categories, which are explained in the next few sections. Several summary tables are provided in which the overall feature of each approach is reviewed that gives the reader the general picture of different algorithms, which are widely used in friction estimation studies.

Keywords

tire-road frictionfriction estimationmodel-based approachexperiment-based approach

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Friction
Volume 5 Issue 2,
June 2017
Pages 123-146
DOI: 10.1007/s40544-017-0151-0
Cite this article:
KHALEGHIAN S, EMAMI A, TAHERI S. A technical survey on tire-road friction estimation. Friction, 2017, 5(2): 123-146. https://doi.org/10.1007/s40544-017-0151-0

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Received: 23 September 2016
Revised: 04 November 2016
Accepted: 24 January 2017
Published: 12 May 2017
© The author(s) 2017

This article is published with open access at Springerlink.com

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