Tesi etd-09112019-160828 |
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Tipo di tesi
Tesi di laurea magistrale
Autore
MAZZATENTA, NICCOLO'
URN
etd-09112019-160828
Titolo
Vehicle model for real-time handling dynamics and in-vehicle tire characterization
Dipartimento
INGEGNERIA CIVILE E INDUSTRIALE
Corso di studi
INGEGNERIA DEI VEICOLI
Relatori
relatore Prof. Guiggiani, Massimo
relatore Ing. Dusini, Luca
relatore Ing. Gerbino, Fabio
relatore Ing. Dusini, Luca
relatore Ing. Gerbino, Fabio
Parole chiave
- elasto-kinematics
- in-vehicle
- knc
- optimization
- real-time
- suspensions
- tire characterization
- tire force
- vehicle dynamics
- vehicle model
Data inizio appello
30/09/2019
Consultabilità
Non consultabile
Data di rilascio
30/09/2089
Riassunto
This work is the result of a 6-month internship at Maserati s.p.a., Modena.
In the first part, a vehicle model for handling analysis and real-time vehicle dynamics is developed; in order to asses its performances it is compared to more advanced models, in particular to a multibody Adams model, and to an hybrid VI-Grade CarRealTime model. Furthermore, the model is used to analyze the effects of suspension compliance on vehicle handling dynamics.
In the second part of this work, an algorithm for \emph{in-vehicle} tire characterization is developed: it estimates the parameters of a tire model from vehicle dynamics data. The identified characteristic is than employed in a vehicle model, and the simulated handling dynamics is compared to the experimental data.
In the appendix, it is described the optimization algorithm coded to perform tires characterization.
In the first part, a vehicle model for handling analysis and real-time vehicle dynamics is developed; in order to asses its performances it is compared to more advanced models, in particular to a multibody Adams model, and to an hybrid VI-Grade CarRealTime model. Furthermore, the model is used to analyze the effects of suspension compliance on vehicle handling dynamics.
In the second part of this work, an algorithm for \emph{in-vehicle} tire characterization is developed: it estimates the parameters of a tire model from vehicle dynamics data. The identified characteristic is than employed in a vehicle model, and the simulated handling dynamics is compared to the experimental data.
In the appendix, it is described the optimization algorithm coded to perform tires characterization.
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