In an increasing number of vehicle dynamics applications, from virtual prototyping and on-board control systems to real-time simulations, a tire-road interaction model is essential to obtain reliable results in reality’s representation. In the recent years, an advanced multiphysical tire model, called adheRIDE, has been developed to take advantage of the accuracy and quite low computational cost offered by the underlying tire Magic Formula dynamic model, also including the effects linked to tire thermal and wear conditions, compound viscoelastic properties, and road roughness characteristics, making use of auxiliary multiphysical formulations, modifying the parameters of the original MF model in runtime. The necessity to parametrize the advanced MF model has led in the development of an interactive tool RIDElab, able to identify the miscellaneous model parameters on experimental data acquirable in outdoor or indoor testing sessions. The RIDElab tool is presented highlighting the methodological steps and the smart features introduced. The goodness of the model parameterization and the potential of the RIDElab methodology is validated on a real case-study, employing the experimental data acquired in outdoor handling session with a motorsport partner.

RIDElab: Advanced calibration tool for a real-time MF-based multiphysical tire model / Arricale, V. M.; Sammartino, A.; Napolitano Dell'Annunziata, G.; Timpone, F.. - 2872:(2023), pp. 1-15. ( 11th International Conference on Mathematical Modeling in Physical Sciences) [10.1063/5.0164059].

RIDElab: Advanced calibration tool for a real-time MF-based multiphysical tire model

Arricale V. M.;Napolitano Dell'Annunziata G.;Timpone F.
2023

Abstract

In an increasing number of vehicle dynamics applications, from virtual prototyping and on-board control systems to real-time simulations, a tire-road interaction model is essential to obtain reliable results in reality’s representation. In the recent years, an advanced multiphysical tire model, called adheRIDE, has been developed to take advantage of the accuracy and quite low computational cost offered by the underlying tire Magic Formula dynamic model, also including the effects linked to tire thermal and wear conditions, compound viscoelastic properties, and road roughness characteristics, making use of auxiliary multiphysical formulations, modifying the parameters of the original MF model in runtime. The necessity to parametrize the advanced MF model has led in the development of an interactive tool RIDElab, able to identify the miscellaneous model parameters on experimental data acquirable in outdoor or indoor testing sessions. The RIDElab tool is presented highlighting the methodological steps and the smart features introduced. The goodness of the model parameterization and the potential of the RIDElab methodology is validated on a real case-study, employing the experimental data acquired in outdoor handling session with a motorsport partner.
2023
RIDElab: Advanced calibration tool for a real-time MF-based multiphysical tire model / Arricale, V. M.; Sammartino, A.; Napolitano Dell'Annunziata, G.; Timpone, F.. - 2872:(2023), pp. 1-15. ( 11th International Conference on Mathematical Modeling in Physical Sciences) [10.1063/5.0164059].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/1014632
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