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.
Skip Nav Destination
,
,
,
Article navigation
28 September 2023
11TH INTERNATIONAL CONFERENCE ON MATHEMATICAL MODELING IN PHYSICAL SCIENCES
5–8 September 2022
Belgrade, Serbia
Research Article|
September 28 2023
RIDElab: Advanced calibration tool for a real-time MF-based multiphysical tire model Available to Purchase
Vincenzo Maria Arricale;
Vincenzo Maria Arricale
1
MegaRide applied vehicle research
, Naples, Italy
Search for other works by this author on:
Andrea Sammartino;
Andrea Sammartino
1
MegaRide applied vehicle research
, Naples, Italy
Search for other works by this author on:
Guido Napolitano Dell’ Annunziata;
Guido Napolitano Dell’ Annunziata
2
Department of Industrial Engineering, University of Naples Federico II
, Naples, Italy
Search for other works by this author on:
Francesco Timpone
Francesco Timpone
a)
2
Department of Industrial Engineering, University of Naples Federico II
, Naples, Italy
a)Corresponding author: [email protected]
Search for other works by this author on:
Vincenzo Maria Arricale
1
Andrea Sammartino
1
Guido Napolitano Dell’ Annunziata
2
Francesco Timpone
2,a)
1
MegaRide applied vehicle research
, Naples, Italy
2
Department of Industrial Engineering, University of Naples Federico II
, Naples, Italy
a)Corresponding author: [email protected]
AIP Conf. Proc. 2872, 120023 (2023)
Citation
Vincenzo Maria Arricale, Andrea Sammartino, Guido Napolitano Dell’ Annunziata, Francesco Timpone; RIDElab: Advanced calibration tool for a real-time MF-based multiphysical tire model. AIP Conf. Proc. 28 September 2023; 2872 (1): 120023. https://doi.org/10.1063/5.0164059
Download citation file:
Pay-Per-View Access
$40.00
Sign In
You could not be signed in. Please check your credentials and make sure you have an active account and try again.
28
Views
Citing articles via
The implementation of reflective assessment using Gibbs’ reflective cycle in assessing students’ writing skill
Lala Nurlatifah, Pupung Purnawarman, et al.
Effect of coupling agent type on the self-cleaning and anti-reflective behaviour of advance nanocoating for PV panels application
Taha Tareq Mohammed, Hadia Kadhim Judran, et al.
Classification data mining with Laplacian Smoothing on Naïve Bayes method
Ananda P. Noto, Dewi R. S. Saputro
Related Content
Experimental friction analysis through innovative compound-substrate contact modelling for automotive applications
AIP Conf. Proc. (September 2023)
VESevo, an innovative device for non-destructive and smart viscoelastic characterization of tires compounds
AIP Conf. Proc. (September 2023)
Simulation study on a torsional stiffness test apparatus for space tube frame chassis
AIP Conf. Proc. (April 2020)