A real-time physical model for strain-based intelligent tires

García-Pozuelo, Daniel; Olatunbosun, Oluremi; Strano, Salvatore; Terzo, Mario

doi:10.1016/j.sna.2018.12.010

Cited by 33 publications

(20 citation statements)

References 26 publications

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“…Following on from the relationships derived from the analysis, a fuzzy logic system has been implemented to estimate the following tire parameters; slip angle, vertical and tangential forces in the contact patch. These results complement the conclusions of previous studies [16,17,18,19,20,21,22,23] to find the capacity of strain sensors to measure all the wheel forces.…”

Section: Introductionsupporting

confidence: 90%

“…Many research studies have chosen the strain sensor as the active element to provide information about the forces at the tire-road contact patch. Indeed, as explained in previous section, the tires as sensors can provide a strong relation with driving condition parameters, thereupon, through the deformation, it is possible to estimate tire parameters based on the strain [16,17,18,19,20,21,22,23,24]. This study is grounded on collected data that had been carried out in an indoor tri-axial tire test rig with strain-based intelligent tire system in the University of Birmingham Vehicle Dynamics Laboratory (see Figure 1).…”

Section: Strain-based Intelligent Tire Systemsmentioning

confidence: 99%

“…The indoor tire test rig allows variation in the speed, vertical load and slip angle. It also allows to measure the values of the longitudinal force for traction and braking rolling test and the lateral force for tire steady-state cornering rolling test [16,17,18,19,20,21,22,23,24].…”

Section: Strain-based Intelligent Tire Systemsmentioning

confidence: 99%

“…Other studies with strain gauges as sensors have been fitted for real-time conditions. This is the case of Garcia-Pozuelo et al [21,22]. In this document a real-time physical model suitable describe the dynamics of intelligent tires based on measurements of strains grounded on a flexible ring on a viscoelastic foundation.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A Strain-Based Method to Estimate Tire Parameters for Intelligent Tires under Complex Maneuvering Operations

Mendoza-Petit

García-Pozuelo

Díaz

et al. 2019

Sensors

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The possibility of using tires as active sensors opens the door to a huge number of different ways to accomplish this goal. In this case, based on a tire equipped with strain sensors, also known as an Intelligent Tire, relevant vehicle dynamics information can be provided. The purpose of this research is to improve the strain-based methodology for Intelligent Tires to estimate all tire forces, based only on deformations measured in the contact patch. Firstly, through an indoor test rig data, an algorithm has been developed to pick out the relevant features of strain data and correlate them with tire parameters. This information of the tire contact patch is then transmitted to a fuzzy logic system to estimate the tire parameters. To evaluate the reliability of the proposed estimator, the well-known simulation software CarSim has been used to back up the estimation results. The software CarSim has been used to provide the vehicle parameters in complex maneuvers. Finally, the estimations have been checked with the simulation results. This approach has enabled the behaviour of the intelligent tire to be tested for different maneuvers and velocities, providing key information about the tire parameters directly from the only contact that exists between the vehicle and the road.

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Section: Introductionsupporting

confidence: 90%

Section: Strain-based Intelligent Tire Systemsmentioning

confidence: 99%

Section: Strain-based Intelligent Tire Systemsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Strain-Based Method to Estimate Tire Parameters for Intelligent Tires under Complex Maneuvering Operations

Mendoza-Petit

García-Pozuelo

Díaz

et al. 2019

Sensors

Self Cite

View full text Add to dashboard Cite

show abstract

“…Tires that collect such information through an internal sensor and relay data on the road surface conditions to the driver are called intelligent tires (iTires). Cars equipped with iTire technology can determine the road 2 of 8 condition on behalf of the driver, which may not be known by the driver, and ensure adequate steering and braking, thereby promoting safer driving [15,16].…”

Section: Introductionmentioning

confidence: 99%

A Road Condition Classification Algorithm for a Tire Acceleration Sensor using an Artificial Neural Network

et al. 2020

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The automotive industry is experiencing a period of innovation, represented by the term CASE (connected, autonomous, shared, and electric). Among the innovative new technologies for automobiles, intelligent tire (iTire) collects road surface information through sensors installed inside a tire and informs the driver of the road conditions. iTire can promote safe driving. Various kinds of research on iTire is ongoing, and this paper proposes an algorithm to determine the road surface conditions while driving. Specifically, we have proposed a method for extracting the feature points of a frequency band, by converting acceleration data collected by sensors through fast Fourier transform (FFT) and determining road surface conditions via an artificial neural network. Lastly, the applicability of the algorithm was verified.

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Effect of carbon black components on rolling mechanical properties of tread rubber material by using improved digital image correlation

et al. 2023

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The rolling and sliding state of the tread rubber material within contact patch was very important to the handling stability and safety of the vehicle. In this paper, first, the absolute coordinate system was introduced into the digital image correlation method, which improved the ability of the traditional digital image correlation method to solve the large deformation of polymer material surface. Second, a new calculation method of rolling friction coefficient based on the brush model was proposed. Third, a non‐contact full‐field rolling dynamics experimental device was developed to study the effects of carbon black components, rotational speed and vertical load on the rolling mechanical characteristics of tread rubber material. On this basis, the rolling mechanical characteristics of tread rubber material with different formulations were obtained by analyzing the distribution properties of global strain rate, full‐field longitudinal speed and full‐field longitudinal acceleration and the variation laws of transverse/longitudinal strain rate, trajectory of marked points, stress‐strain hysteresis curve and rolling friction coefficient. Finally, the influence mechanism of carbon black composition on rolling mechanical properties of tread rubber material was revealed.

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A real-time physical model for strain-based intelligent tires

Cited by 33 publications

References 26 publications

A Strain-Based Method to Estimate Tire Parameters for Intelligent Tires under Complex Maneuvering Operations

A Strain-Based Method to Estimate Tire Parameters for Intelligent Tires under Complex Maneuvering Operations

A Road Condition Classification Algorithm for a Tire Acceleration Sensor using an Artificial Neural Network

Effect of carbon black components on rolling mechanical properties of tread rubber material by using improved digital image correlation

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