The objective of this thesis project is to develop a robust framework capable of generating constant‑parameter tyre curves from track data events. By manipulating track data in combination with detailed vehicle knowledge, it has been possible to estimate key quantities such as ground contact‑patch forces, slip angle, slip ratio, camber angle, tyre bulk temperature, and tyre pressure. These parameters act as inputs to a multivariable interpolation algorithm, whose outputs are examined to produce single‑relationship plots. The resulting tool proves highly valuable in the correlation phases between virtual models and track events, as it enhances the automation and accuracy of the analysis while reducing the need for manual operations.

Tyre characteristic curve generation through contact force calculation and multivariable interpolation frameworks

RICCI MALERBI, MARCO
2024/2025

Abstract

The objective of this thesis project is to develop a robust framework capable of generating constant‑parameter tyre curves from track data events. By manipulating track data in combination with detailed vehicle knowledge, it has been possible to estimate key quantities such as ground contact‑patch forces, slip angle, slip ratio, camber angle, tyre bulk temperature, and tyre pressure. These parameters act as inputs to a multivariable interpolation algorithm, whose outputs are examined to produce single‑relationship plots. The resulting tool proves highly valuable in the correlation phases between virtual models and track events, as it enhances the automation and accuracy of the analysis while reducing the need for manual operations.
2024
Race car tires
Vehicle dynamics
multivariable interp
paceijka
tame model
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14251/4668