Early detection of tire-road friction coefficient based on pneumatic trail stiffness

Kyoungseok Han, Eunjae Lee, Seibum Choi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Scopus citations

Abstract

This paper presents a method for estimating the maximum lateral tire-road friction coefficient and wheel side slip angle based on the pneumatic trail information that exhibits unique characteristics according to the road surface conditions. The high sensitivity of the pneumatic trail for the wheel side slip angle enables the proposed observer to detect the peak tire-road friction coefficient in low slip regions. The conventional method that is highly dependent on the tire model has drawbacks due to model uncertainty. In order to overcome these shortcomings, the proposed method minimizes the use of existing tire models. In addition, traction force is also considered in this paper using a correction factor. The estimation results are obtained recursively under the persistent excitation condition. A simulation is conducted first in order to verify the performance of the proposed method using a combination of the Carsim and Matlab & Simulink. Then, vehicle experiments are conducted on a proving ground in order to verify the feasibility of the proposed method. The verification results reveal that the early detection of the maximum tire-road friction coefficient is possible with less excitation signals than the conventional methods.

Original languageEnglish
Title of host publication2016 American Control Conference, ACC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages6326-6331
Number of pages6
ISBN (Electronic)9781467386821
DOIs
StatePublished - 28 Jul 2016
Event2016 American Control Conference, ACC 2016 - Boston, United States
Duration: 6 Jul 20168 Jul 2016

Publication series

NameProceedings of the American Control Conference
Volume2016-July
ISSN (Print)0743-1619

Conference

Conference2016 American Control Conference, ACC 2016
Country/TerritoryUnited States
CityBoston
Period6/07/168/07/16

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