Tesi etd-01232024-112133 |
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Tipo di tesi
Tesi di laurea magistrale
Autore
FIORI, FRANCESCA
URN
etd-01232024-112133
Titolo
Numerical Optimization on Aerodynamic Drag Reduction through Ducts in a BEV
Dipartimento
INGEGNERIA CIVILE E INDUSTRIALE
Corso di studi
INGEGNERIA AEROSPAZIALE
Relatori
relatore Prof. Lombardi, Giovanni
relatore Ing. Maganzi, Marco
relatore Ing. Fedeli, Roberto
relatore Ing. Maganzi, Marco
relatore Ing. Fedeli, Roberto
Parole chiave
- vehicle
- drag
- duct
- optimization
Data inizio appello
12/02/2024
Consultabilità
Non consultabile
Data di rilascio
12/02/2094
Riassunto
This thesis covers one of the main problems of battery electric vehicles (BEVs): the limited range. One of the solutions involves reducing overall aerodynamic drag, which can be achieved in various ways. The work continues an earlier one named “Numerical Investigations on Aerodynamic Drag Reduction through Ducts in a BEV”. It involves mitigating drag by optimizing ducts that take advantage of the different internal morphology of the electric vehicle. The BEV model is provided by Aston Martin Lagonda Ltd. The ducts are designed and parameterized with Dassault Systèmes CATIA V5®. Other software tools used are BetaCAE Ansa®, Simcenter STAR-CCM+®, and modeFRONTIER®.
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