Intelligent Tires?A Review of Tire Characterization Literature

Lee, Hojong; Taheri, Saied

doi:10.1109/mits.2017.2666584

Cited by 75 publications

(42 citation statements)

References 39 publications

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“…TPMS can prevent tire-related accidents [10,11]. However, it is also important that the driver is aware of road conditions, such as whether the surface is normal, unpaved, wet, snow-covered, or icy [12,13]. Given that tires are in direct contact with the road surface, information regarding not only tire-related, such as pressure, temperature, wear condition, and tread depth, but also information on the degree of road surface friction and pavement condition, can be obtained [14].…”

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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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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“…[2]. Besides this the contact patch features and the global deformation of tire are identified as the key factors for the tire force estimation [3]. Contact zone has a major effect on machine stiffness.…”

Section: Introductionmentioning

confidence: 99%

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2020

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The vehicle's suspension system is designed to absorb shocks from road disturbance. The dynamic behavior of a tire suspension depends on many factors. Some main factors are vehicle load, speed, steering angle, road disturbances and the amount of tire elasticity. The dynamic behaviour of the tire is very difficult to observe when the vehicle is traveling on the road. To overcome this problem, in this paper, a test rig will be designed to be able to observe changes in tire dynamic properties experimentally for family car type. The design concept is based on the sprung and un-sprung mass dynamics. This research was conducted by five methods; study mechanism of measuring the tire dynamic behaviors, design of test equipment construction, simulations, and analysis of construction strength. The spring mass construction is designed to have 1 degree of freedom which is able to move the translation in a vertical direction to indicate changes in car body height. On the other hand, the unsprung mass construction is designed to have 3 degrees of freedom that can move translation in the vertical direction, rotation in the z axis and rotation in the x axis. Movement in the vertical direction is to simulate a tire jump, rotation on the z axis is to simulate the steering angle and rotation on the x axis is to simulate the camber angle. The design result shows that the design construction not only saves to handle all forces and moments but can also fulfill functions to simulate the dynamic response of the car model. Simulation result shows maximum stress is point on C-D bar that is 7.13 N/mm 2. This value is less than allowable shear stress which is 37N/mm 2. By all simulation result, it can be concluded that all materials used are saved for this construction.

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“…Despite the fact the experimental results show the potential of the estimation method, it needs to measure the data from the on-board vehicle sensors to estimate the tire parameters. According to Lee et al [5], observers estimation provides, under the severe driving condition accompanied with large combined slips and abrupt wheel load changes, unreliable values and also, considerable uncertainties can be accumulated during the estimation process, which can be due to the use of a simple vehicle model. One of the most used is the Magic Formula [6,7,8], nonetheless, according to Rajamani [9], the results from analytical elastic foundation models (the brush models) can match the data very well for cases of pure lateral or pure longitudinal force generation.…”

Section: Introductionmentioning

confidence: 99%

“…This type of sensor assures signal linearity and stability over time and insensitivity to temperature change, however, it is very sensitive to the noise (high frequency vibration) generated when the tire rolls on the road. Hence, it is difficult to extract the characteristics of interest without advanced signal processing [5]. On the other hand, the high vibration levels inside a tire have the potential to generate electrical power using vibration based energy harvesting techniques.…”

Section: Introductionmentioning

confidence: 99%

“…Matsuzaki and Todoroki [1] investigated the relationship between variation in strain on the inner surface of pneumatic tires and tire mechanical parameters by carrying out finite element analysis and simulating the strain sensor signal when a tire rotates. In general, it has been found that the strain sensors measurements can be directly related to tire deflection and operational conditions [5] with a little margin for error under dynamic conditions [19,20]. In most cases, they are attached to the inner surface of the tire to contribute to a lower probability of damage.…”

Section: Introductionmentioning

confidence: 99%

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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.

show abstract

Intelligent Tires?A Review of Tire Characterization Literature

Cited by 75 publications

References 39 publications

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

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

Untitled

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

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