A strain-based method to estimate slip angle and tire working conditions for intelligent tires using fuzzy logic

Daniel Garcia-Pozuelo, Jorge Yunta, Oluremi Olatunbosun, Xiaoguang Yang, Vicente Diaz

Research output: Contribution to journalArticlepeer-review

20 Citations (Scopus)
144 Downloads (Pure)

Abstract

Tires equipped with sensors, the so-called “intelligent tires”, can provide vital information for control systems, drivers and external users. In this research, tire dynamic strain characteristics in cornering conditions are collected and analysed in relation to the variation of tire working conditions, such as inflation pressure, rolling speed, vertical load and slip angle. An experimental tire strain-based prototype and an indoor tire test rig are used to demonstrate the suitability of strain sensors to establish relations between strain data and lateral force. The results of experiments show that strain values drop sharply when lateral force is decreasing, which can be used to predict tire slip conditions. As a first approach to estimate some tire working conditions, such as the slip angle and vertical load, a fuzzy logic method has been developed. The simulation and test results confirm the feasibility of strain sensors and the proposed computational model to solve the non-linearity characteristics of the tires’ parameters and turn tires into a source of useful information.

Original languageEnglish
Article number874
JournalSensors
Volume17
Issue number4
DOIs
Publication statusPublished - 16 Apr 2017

Keywords

  • Fuzzy logic
  • Intelligent tires
  • Slip angle estimation
  • Strain gauges
  • Tire conditions

ASJC Scopus subject areas

  • Analytical Chemistry
  • Atomic and Molecular Physics, and Optics
  • Biochemistry
  • Electrical and Electronic Engineering

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