An effective method to identify thermodynamic tire characteristics through driving maneuvers

Büttner, Felix; Unterreiner, Michael; Bortolussi, Paolo

doi:10.1007/978-3-658-08844-6_62

Cited by 4 publications

(4 citation statements)

References 3 publications

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“…Tires vary considerably their behavior with temperature and excitation frequency, 16 in particular as concerns the tread viscoelastic layer behavior and its effect on tire grip. On the contrary, the temperatures of the internal tire layers and of the sidewalls influence the tire cornering stiffness, establishing a connection between the tire temperature and the entire vehicle handling characteristics 17,18 After a proper evaluation, the least computationally expensive solution to take into account the tire high inhomogeneity has resulted in the adoption of a thermal equivalent dual-zone material configuration along the radial direction: the tread constituted only by rubber compound and the carcass composite structure, including belt and innerliner, as represented in Figure 3.…”

Section: Tire Discretizationmentioning

confidence: 99%

Section: Trt Evo Modelmentioning

confidence: 99%

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TRT EVO: Advances in real-time thermodynamic tire modeling for vehicle dynamics simulations

Farroni

Russo

Sakhnevych

et al. 2018

Proceedings of the Institution of Mechanical Engineers, Part D:

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Vehicle performances, especially in motorsport, are deeply affected by tire behavior and in particular by tire compound proper working conditions. In this research activity, a series of innovations have been introduced on the Thermo Racing Tire (a physical-analytical tire thermal model, based on Fourier's law of heat transfer applied to a three-dimensional domain) in order to take into account all the main aspects actively involved in the thermal behavior of the tire, as the presence of exhausted gases eventually impacting at the rear axle and the inhomogeneous distribution of local variables (pressure, stress and sliding velocity) within the contact patch, caused in example by the tire camber angle. The new model developed considers the presence of the sidewalls, actively involved in the convective heat exchanges, respectively, with the external airflow and the inner gas fluid, located inside the inflation chamber. The aim of the new version of the tire thermal model is a better physical comprehension of all the phenomena concerning the contact with the asphalt and the prediction of the link between the thermal state and the frictional performance, crucial for the definition of an optimal wheel and vehicle setup.

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Section: Tire Discretizationmentioning

confidence: 99%

Section: Trt Evo Modelmentioning

confidence: 99%

TRT EVO: Advances in real-time thermodynamic tire modeling for vehicle dynamics simulations

Farroni

Russo

Sakhnevych

et al. 2018

Proceedings of the Institution of Mechanical Engineers, Part D:

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show abstract

“…The multi-layer model is an improvement of the single-layer model, based on [2], where in this article the tyre is split in three layers with individual thermal properties and input sizes. These layers describe the main constituents of a tyre and for each of these layers the energy balance considers different heat mechanisms.…”

Section: Multi-layer Temperature Modelmentioning

confidence: 99%

“…Two different types of heat generation are common used in the literature, see e.g. [2] or [3]. First, heat is generated by different sliding velocities between road and tyre, seeQ 1 in Figure 1, and second heat is generated inside due the hysteresis effect, seeQ 2 .…”

Section: Introductionmentioning

confidence: 99%

Experimental Validation of Various Temperature Modells for Semi-Physical Tyre Model Approaches

Hackl

Scherndl

Hirschberg

et al. 2017

IOP Conf. Ser.: Mater. Sci. Eng.

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Abstract. With increasing level of complexity and automation in the area of automotive engineering, the simulation of safety relevant Advanced Driver Assistance Systems (ADAS) leads to increasing accuracy demands in the description of tyre contact forces. In recent years, with improvement in tyre simulation, the needs for coping with tyre temperatures and the resulting changes in tyre characteristics are rising significantly. Therefore, experimental validation of three different temperature model approaches is carried out, discussed and compared in the scope of this article. To investigate or rather evaluate the range of application of the presented approaches in combination with respect of further implementation in semi-physical tyre models, the main focus lies on the a physical parameterisation. Aside from good modelling accuracy, focus is held on computational time and complexity of the parameterisation process. To evaluate this process and discuss the results, measurements from a Hoosier racing tyre 6.0 / 18.0 10 LCO C2000 from an industrial flat test bench are used. Finally the simulation results are compared with the measurement data. IntroductionWith enhanced integration of simulation and modelling into vehicle development and assistance systems, the requirements for simulation models regarding precision and computational time are increasing rapidly. In this case, not only demands affecting vehicle modelling but also tyre modelling become more important. In recent years, with improvement in tyre simulation, the needs for coping with tyre temperatures and the resulting changes in tyre characteristics are rising significantly. These changes include, amongst other things, the temperature dependent behaviour of friction coefficients and the loss of cornering stiffness with increasing temperature. To account those effects in modern assistance systems, it will become mandatory to reliably estimate tyre temperatures with information gathered from sensors or state estimators the vehicle can provide. This needs to be done in real time and therefore a reasonable compromise between accuracy and computational time has to be achieved. To generate a comparative basis three different models are tested in regard of the fulfilment of the requirements mentioned. To keep the effort needed for parameterisation as low as possible, the models were designed to handle the simulation with little to no information about the car itself and instead focusing on properties derived from tyre measurements.

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Tire Surface Segmentation in Infrared Imaging with Convolutional Neural Networks

Nava

Fehr

Petry

et al. 2021

Pattern Recognition. ICPR International Workshops and Challenges

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An effective method to identify thermodynamic tire characteristics through driving maneuvers

Cited by 4 publications

References 3 publications

TRT EVO: Advances in real-time thermodynamic tire modeling for vehicle dynamics simulations

TRT EVO: Advances in real-time thermodynamic tire modeling for vehicle dynamics simulations

Experimental Validation of Various Temperature Modells for Semi-Physical Tyre Model Approaches

Tire Surface Segmentation in Infrared Imaging with Convolutional Neural Networks

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