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Sensors 2017, 17(3), 576; doi:10.3390/s17030576

A Multisensing Setup for the Intelligent Tire Monitoring

1
Department of Mechanical and Aerospace Engineering, Sapienza University of Rome, 00184 Rome, Italy
2
CNIT, Consorzio Nazionale Interuniversitario per le Telecomunicazioni, 43124 Parma, Italy
*
Author to whom correspondence should be addressed.
Academic Editor: Vittorio M.N. Passaro
Received: 10 January 2017 / Revised: 20 February 2017 / Accepted: 1 March 2017 / Published: 12 March 2017
(This article belongs to the Section Physical Sensors)

Abstract

The present paper offers the chance to experimentally measure, for the first time, the internal tire strain by optical fiber sensors during the tire rolling in real operating conditions. The phenomena that take place during the tire rolling are in fact far from being completely understood. Despite several models available in the technical literature, there is not a correspondently large set of experimental observations. The paper includes the detailed description of the new multi-sensing technology for an ongoing vehicle measurement, which the research group has developed in the context of the project OPTYRE. The experimental apparatus is mainly based on the use of optical fibers with embedded Fiber Bragg Gratings sensors for the acquisition of the circumferential tire strain. Other sensors are also installed on the tire, such as a phonic wheel, a uniaxial accelerometer, and a dynamic temperature sensor. The acquired information is used as input variables in dedicated algorithms that allow the identification of key parameters, such as the dynamic contact patch, instantaneous dissipation and instantaneous grip. The OPTYRE project brings a contribution into the field of experimental grip monitoring of wheeled vehicles, with implications both on passive and active safety characteristics of cars and motorbikes. View Full-Text
Keywords: intelligent tire; smart tire; tire grip; autonomous vehicle; car monitoring intelligent tire; smart tire; tire grip; autonomous vehicle; car monitoring
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Coppo, F.; Pepe, G.; Roveri, N.; Carcaterra, A. A Multisensing Setup for the Intelligent Tire Monitoring. Sensors 2017, 17, 576.

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