Modelling of the powertrain of the Lamborghini Lanzador, the first Battery Electric Vehicle (BEV) of Automobili Lamborghini

Curcio, Gabriele (2024) Modelling of the powertrain of the Lamborghini Lanzador, the first Battery Electric Vehicle (BEV) of Automobili Lamborghini. [Laurea magistrale], Università di Bologna, Corso di Studio in Advanced automotive electronic engineering [LM-DM270], Documento full-text non disponibile
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Abstract

The thesis was conducted in the electrification department of Automobili Lamborghini S.p.A., for the development of high-performance supercars, but still within the European and global regulations for CO2 emissions. 2024 is a very important year for Automobili Lamborghini as it will reach 100% hybridization of the fleet. This is an important step as the company is renowned for its naturally aspirated V12s that have made engineering history since 1963. To ease the transition to electric, a methodical approach can increase the efficiency of the change while simultaneously cutting costs. Simulation plays a key role in this, since from a set of inputs that one provides to the model, one can already have important estimates, and decide whether or not to continue along this path. In fact, this thesis focuses on the development of the Powertrain model of the first Full Electric vehicle for Automobili Lamborghini S.p.A., the Lanzador. It will produce longitudinal dynamics simulations to verify the vehicle's performance and consumption. The paper is divided into an initial analysis of the model created in Simulink for the battery pack, electric drive and electric machine, and a second part oncerning the results it returns, concluding with analyses on homologations.

Abstract
Tipologia del documento
Tesi di laurea (Laurea magistrale)
Autore della tesi
Curcio, Gabriele
Relatore della tesi
Correlatore della tesi
Scuola
Corso di studio
Ordinamento Cds
DM270
Parole chiave
Matlab,Simulink,ETAS MDA,ETAS INCA,Electric Motor,Electric Drive,Battery Pack,High Voltage,Simulation,Homologation Cycle,BEV,Lamborghini,Data Analysis
Data di discussione della Tesi
18 Marzo 2024
URI

Altri metadati

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