Enrico Andrea Cacciola
BEV Powertrain simulation determined by real driving cycle data.
Rel. Paolo Guglielmi. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Elettrica, 2023
Abstract
This thesis focuses on the powertrain simulation of a Battery Electric Vehicle (BEV) city car to gain a thorough understanding of its internal workings using Matlab and Simulink software. By acquiring data from the vehicle with Canalyzer, a simulated model has been created to accurately represent the car’s behavior. This project explores technical and functional features of a BEV city car and analyze its propulsion system in detail. Firstly, the construction of the design has been focused on the acquisition of the physical and performance data of the vehicle. To ensure a comprehensive understanding of the vehicle, a combination of general manuals provided by the manufacturer and previously collected data from Teoresi S.p.A., an engineering company, has been utilized.
This data acquisition process forms the foundation for further analysis and research conducted through the thesis
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