nach oben

Erschienen in:

2024 | OriginalPaper | Buchkapitel

Tire Performance Optimization Using Intercoupled T.R.I.C.K., ThermoRIDE and WeaRIDE Physical Models

verfasst von : Flavio Farroni, Andrea Sammartino, Guido Napolitano Dell’Annunziata, Damiano Capra

Erschienen in: 13th International Munich Chassis Symposium 2022

Verlag: Springer Berlin Heidelberg

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

Vehicle performance enhancement is one of the thorniest challenges that motorsport teams and car manufacturers face every day. In order to optimize the car dynamic behavior, it is fundamental to make tires work in temperature, pressure and setup conditions which can let them exhibit their maximum potential. For this reason, in recent years, great efforts have been made towards both indoor and outdoor novel tire characterization methodologies and increasingly complex mathematical models able to reproduce the tire physical behavior, accounting for all the interlinked physical phenomena involved.

In the presented work three different physical models, developed by the UniNa research group and its spin-off MegaRide, are coupled within a co-simulation framework, allowing to investigate the tire performance sensitivities and to optimize the vehicle behavior in the widest possible range of tire working conditions.

To this purpose, a vehicle model called T.R.I.C.K. (Tire/Road Interaction Characterization and Knowledge) has been developed to process data acquired from outdoor test session, adopting standard vehicle data to obtain interaction curves and time-by-time tire kinematics and dynamics. The output “virtual telemetry” is employed as an input for a tire thermodynamic model, called thermoRIDE, able to evaluate the local temperatures of all the different tire external and internal layers, not reachable by sensors. Finally, to take into account the effects due to energy, temperature, tread viscoelasticity and road roughness on tire wear and degradation, an additional physical model, weaRIDE, has been implemented and parameterized.

Analyzing the enriched dataset, it is possible to obtain fundamental information concerning tire behavior to define an optimal setup to increase and to govern the overall vehicle performance, both in design and pre-race phases.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Vorheriges Kapitel Wheel Concepts for Extending the Range of Battery-EVs and Upgrading the Premium Wheel Design

Nächstes Kapitel Efficient Tire/Handling Development by Applying Virtual Vehicle- and Tire Layout

Virkar, D.S., Thombare, D.G.: Parametric study and experimental evaluation of vehicle tire performance. Int. J. Mech. Eng. Robot. Res. 2(2) 221–231 (2013)

Dugoff, H., Fancher, P.S., Segel, L.: Tire performance characteristics affecting vehicle response to steering and braking control inputs (1969)

Milliken, W.F., Milliken, D.L.: Race Car Vehicle Dynamics. Society of Automotive Engineers, Warrendale (1995)

Rajamani, R.: Vehicle Dynamics and Control. Springer Science, Business Media (2011)

Starkey, J.M., Gray, S., Watts, D.: Vehicle performance simulation and optimization including tire slip. SAE Technical Paper, No. 881733 (1988)

Futamura, S., Goldstein, A.A.: Prediction and simulation of tire performance characteristics based on deformation index concept. Rubber Chem. Technol. 89(1), 1–21 (2016)

Li, B., Yang, X., Yang, J.: Tire model application and parameter identification-a literature review. SAE Int. J. Passeng. Cars Mech. Syst. 7(2014-01-0872), 231–243 (2014)

Liang, W., Medanic, J., Ruhl, R.: Analytical dynamic tire model. Veh. Sys. Dyn. 46(3), 197–227 (2008)

Angrick, C., van Putten, S., Prokop, G.: Influence of tire core and surface temperature on lateral tire characteristics. SAE Int. J. Passeng Cars Mech. Syst., 7(2014-01-0074), 468–481 (2014)

10.

Farroni, F.: TRICK‐Tire/Road Interaction Characterization & Knowledge—a tool for the evaluation of tire and vehicle performances in outdoor test sessions. Mech. Syst. Signal Process. 72, 808–831, (2016)

11.

Farroni, F., Giordano, D., Russo, M., Timpone, F.: TRT: thermo racing tyre a physical model to predict the tyre temperature distribution. Meccanica 49(3), 707–723 (2014)

12.

Farroni, F., Sakhnevych, A., Timpone, F.: An evolved version of thermo racing tyre for real time applications. Lect. Notes Eng. Comput. Sci. (2015)

13.

Farroni, F., Russo, M., Sakhnevych, A., Timpone, F.: TRT EVO: advances in real-time thermodynamic tire modeling for vehicle dynamics simulations. Proc. Inst. Mech. Eng., Part D: J. Automobile Eng. 233(1), 121–135 (2019)

14.

Farroni, F., Sakhnevych, A., Timpone, F.: Physical modelling of tire wear for the analysis of the influence of thermal and frictional effects on vehicle performance. Proc. Inst. Mech. Eng., Part L: J. Mater.: Des. Appl. 231(1–2), 151–161 (2017)

15.

Pacejka, H.B., Bakker, E.: The magic formula tyre model. Veh. Syst. Dyn. 21(S1), 1–18 (1992)

16.

Guiggiani, M.: The Science of Vehicle Dynamics. Springer Netherlands, Pisa (2018)

17.

Farroni, F., Sakhnevych, A., Sammartino, A., Timpone, F., Aragao Costa, A.L.D., Martino, M.D., Montanaro, F.: Preliminary implementation of model-based algorithms for truck tire characterizations from outdoor sessions. In: Conference of the Italian Association of Theoretical and Applied Mechanics; 1033–1044 (2019)

18.

Farroni, F., Napolitano Dell’Annunziata, G., Sakhnevych, A., Timpone, F., Lenzo, B., Barbieri, M.: Towards TRICK 2.0—a tool for the evaluation of the vehicle performance through the use of an advanced sensor system. In: Conference of the Italian Association of Theoretical and Applied Mechanics, 1093–1102 (2019)

19.

Allouis, C., Amoresano, A., Giordano, D., Russo, M., Timpone, F.: Measurement of the thermal diffusivity of a tire compound by mean of infrared optical technique. Int. Rev. Mech. Eng. 6(6), 1104–1108 (2012)

20.

Sueoka, A., Ryu, T., Kondou, T., Togashi, M., Fujimoto, T.: Polygonal wear of automobile tire. JSME Int. J. S. C Mech. Syst., Mach. Elem. Manufact. 40(2), 209–217 (1997)

21.

Braghin, F., Cheli, F., Melzi, S., Resta, F.: Tyre wear model: validation and sensitivity analysis. Meccanica 41(2), 143–156 (2006)

22.

Menard, K. P., Menard, N. R.: Dynamic Mechanical Analysis. CRC Press (2020)

23.

Farroni, F., Genovese, A., Maiorano, A., Sakhnevych, A., Timpone, F.: Development of an innovative instrument for non-destructive viscoelasticity characterization: VESevo. In: The International Conference of IFToMM ITALY, 804–812 (2020)

Titel: Tire Performance Optimization Using Intercoupled T.R.I.C.K., ThermoRIDE and WeaRIDE Physical Models
verfasst von: Flavio Farroni
Andrea Sammartino
Guido Napolitano Dell’Annunziata
Damiano Capra
Verlag: Springer Berlin Heidelberg
Buch: 13th International Munich Chassis Symposium 2022
Print ISBN: 978-3-662-68162-6

Electronic ISBN: 978-3-662-68163-3

Copyright-Jahr: 2024
DOI: https://doi.org/10.1007/978-3-662-68163-3_20

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Premium Partner