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Characterization of the loss of grip condition in the Strain-Based Intelligent Tire at severe maneuver

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carlosiii.embargo.liftdate2024-04-01
carlosiii.embargo.terms2024-04-01
dc.affiliation.areaUC3M. Área de Ingeniería Mecánicaes
dc.affiliation.dptoUC3M. Departamento de Ingeniería Mecánicaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: MECATRAN: Mecánica Experimental, Cálculo y Transporteses
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Advanced Vehicle Dynamics and Mechatronic Systems - VEDYMEC
dc.contributor.authorMendoza Petit, María Fernanda
dc.contributor.authorGarcía-Pozuelo Ramos, Daniel
dc.contributor.authorDíaz López, Vicente
dc.contributor.authorGarrosa Solana, María
dc.date.accessioned2022-09-15T09:13:20Z
dc.date.issued2022-04-01
dc.description.abstractThe early detection of the instantaneous tire–road condition enables the control systems to react against the risk of the vehicle's loss of control. This situation usually occurs when the phenomena of stick–slip is not present in the tire–road interaction yielding the full slip of the tire (the whole contact patch is gliding). The relation between the friction force and the vertical load of the tire can be used as an indicator of this loss of grip when it is higher than the maximum capacity of friction used for the surfaces in contact. Nonetheless, this limit of friction is currently unknown. This study proposes the development of the tire as an active sensor able to provide all this information. Previous studies have shown that the Strain-based Intelligent Tire enables the monitoring of the forces in the tire–road interaction, the wheel load, the effective radius, the contact length, and the wheel velocity in the contact patch. These parameters affect the tire–road friction characterization. Therefore, it is proposed the integration of the LuGre model with the achievements of the Strain-Based Intelligent Tire in order to estimate the adherence limit. To show the effectiveness of the methodology proposed it is used the CarSim™ simulation software. The validation process is carried out monitoring the limit of adherence with a set of vehicle’s severe maneuvers, where the dynamic behavior of the vehicle highlights its influence in the operational condition of the tire in order to expose the wheels to full slip.en
dc.description.statusPublicadoes
dc.format.extent21
dc.identifier.bibliographicCitationMechanical Systems and Signal Processing, (2022), v. 168, 108586, pp.: 1-22.en
dc.identifier.doihttps://doi.org/10.1016/j.ymssp.2021.108586
dc.identifier.issn0888-3270
dc.identifier.publicationfirstpage1en
dc.identifier.publicationissue108586
dc.identifier.publicationlastpage21
dc.identifier.publicationtitleMECHANICAL SYSTEMS AND SIGNAL PROCESSINGen
dc.identifier.publicationvolume168
dc.identifier.urihttps://hdl.handle.net/10016/35713
dc.identifier.uxxiAR/0000029487
dc.language.isoengen
dc.publisherElsevieren
dc.rights© 2021 Elsevier Ltd. All rights reserved.en
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.accessRightsembargoed accessen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subject.ecienciaIngeniería Mecánicaes
dc.subject.otherStrain gaugesen
dc.subject.otherIntelligent tireen
dc.subject.otherAdherence limiten
dc.subject.otherLoss of gripen
dc.subject.otherGrip marginen
dc.subject.otherTire-road friction coefficienten
dc.titleCharacterization of the loss of grip condition in the Strain-Based Intelligent Tire at severe maneuveren
dc.typeresearch article*
dc.type.hasVersionAM*
dspace.entity.typePublication
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