Model-based state estimator for an intelligent tire

Goos, Jan; Teerhuis, Arjan; Schmeitz, A.J.C.; Besselink, Igo Igo; Nijmeijer, Henk

doi:10.1201/9781315265285-80

Cited by 8 publications

(5 citation statements)

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“…In addition, the Flexible Ring Tire model is used to predict the tire deformation. The carcass deformation can be directly compared with the measurement from the optical laser sensor as shown in Figure 5 (Xiong and Tuononen, 2015b) or can be transformed into tangential and radial accelerations of a point on the inner liner and compared with the tri-axial accelerometer measurement (Goos et al , 2016).…”

Section: Estimation Methodsmentioning

confidence: 99%

A review on in-tire sensor systems for tire-road interaction studies

Xiong

Yang

2018

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Purpose The aim of this paper is threefold: first, to review the technological state of the art on tire sensor systems; second, to summarize basic methodologies and explore the potential of tire sensing for intelligent vehicle developments and third, to address challenges in the development of tire sensing systems and inspire future research in this field. Design/methodology/approach Nowadays, automotive industry is moving toward an intelligent and autonomous driving era with the assistance of sensing technology development, whereas tire-road conditions sensing and utilization are of great interest from the point of view of vehicle dynamics control, vehicle safety and vehicle performance evaluation. Findings Tire sensing is an emerging technology whereby sensor systems are installed on the tire to provide fundamental insights into tire-road interactions for ground vehicles and wheel robots. In the past two decades, tire sensing systems based on various sensor types have been proposed to offer the possibility to investigate tire-road interactions. Originality/value Instrumenting the tire with sensors, especially accelerometers and optical sensors, can sense the tire-road interactions and enhance the vehicle performance. The harsh environment inside tire cavity requires reliable, accurate, low weight, modularized and inexpensive sensors. Challenges, such as the data transmission, power management, lack of physics-based tire models need to be solved before the tire sensor becomes commercially viable for production vehicles.

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Section: Estimation Methodsmentioning

confidence: 99%

A review on in-tire sensor systems for tire-road interaction studies

Xiong

Yang

2018

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“…This arrangement enabled the classification of terrain by identifying differences in the features of the experimental data. Goos et al [7] developed a flexible ring tire model-based state estimator to predict the vertical load at the contact patch by employing a tri-axial accelerometer. An extended Kalman filter was used to predict the longitudinal and lateral tire forces.…”

Section: Review Of Published Workmentioning

confidence: 99%

Intelligent Tire Prototype in Longitudinal Slip Operating Conditions

Bastiaan,

Chawan,

Eum

et al. 2024

Sensors

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With the recent advances in autonomous vehicles, there is an increasing need for sensors that can help monitor tire–road conditions and the forces that are applied to the tire. The footprint area of a tire that makes direct contact with the road surface, known as the contact patch, is a key parameter for determining a vehicle’s effectiveness in accelerating, braking, and steering at various velocities. Road unevenness from features such as potholes and cracks results in large fluctuations in the contact patch surface area. Such conditions can eventually require the driver to perform driving maneuvers unorthodox to normal traffic patterns, such as excessive pedal depressions or large steering inputs, which can escalate to hazards such as the loss of control or impact. The integration of sensors into the inner liner of a tire has proven to be a promising method for extracting real-time tire-to-road contact patch interface data. In this research, a tire model is developed using Abaqus/CAE and analyzed using Abaqus/Explicit to study the nonlinear behavior of a rolling tire. Strain variations are investigated at the contact patch in three major longitudinal slip driving scenarios, including acceleration, braking, and free-rolling. Multiple vertical loading conditions on the tire are applied and studied. An intelligent tire prototype called KU-iTire is developed and tested to validate the strain results obtained from the simulations. Similar operating and loading conditions are applied to the physical prototype and the simulation model such that valid comparisons can be made. The experimental investigation focuses on the effectiveness of providing usable and reliable tire-to-road contact patch strain variation data under several longitudinal slip operating conditions. In this research, a correlation between FEA and experimental testing was observed between strain shape for free-rolling, acceleration, and braking conditions. A relationship between peak longitudinal strain and vertical load in free-rolling driving conditions was also observed and a correlation was observed between FEA and physical testing.

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“…A flexible ring tire model which could describe the longitudinal dynamics of intelligent tires was proposed by Romano et al 20 and was validated in MATLAB-simulink environment. Goos et al 21 used the flexible ring tire as the observer of a tire state estimator which was developed by them to estimate the longitudinal and vertical tire forces. In general, intelligence tire technology essentially combines new sensor technology and original on-board sensor technology to develop new automotive tire technologies or new tire correlation algorithms based on the sensor signals obtained.…”

Section: Introductionmentioning

confidence: 99%

An estimation algorithm for tire wear using intelligent tire concept

Quan

Bei

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part D:

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Real-time monitoring of tire wear is a hot spot in the research of automobile tires, and it has a great significance to ensure the safety of automobile driving. A tire wear estimation algorithm was proposed based on the relevant knowledge of finite element modal analysis theory and the concept of intelligent tires in this paper. First, the finite element model of the 205/55/R16 radial tire was established through the ABAQUS software, then the finite element method was used to simulate and analyze the influence of tire inflation pressure, load, tire wear, and speed on the tire radial vibration frequency. The simulation results show that inflation pressure and tire wear shows an upward trend with the increase of the vibration frequency of each order in the tire radial direction, and load and speed increase with what increases of tire radial increase frequency. Based on simulation analysis data, combined with the relationship between tire inflation pressure, load, tire wear, speed, and radial vibration frequency, a neural network-based tire wear estimation algorithm is proposed. The estimate results show that the predicted wear curve and the actual wear curve have a higher degree of overlap, the average error is 0.0874 mm, and the average error percentage is 2.78%, Thus, a feasible tire wear estimation algorithm is proposed.

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Model-based state estimator for an intelligent tire

Cited by 8 publications

References 0 publications

A review on in-tire sensor systems for tire-road interaction studies

A review on in-tire sensor systems for tire-road interaction studies

Intelligent Tire Prototype in Longitudinal Slip Operating Conditions

An estimation algorithm for tire wear using intelligent tire concept

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