| KEYWORD |
Improving Energy Efficiency in Electric Vehicles: A Collaborative Research/Industrial Project
Parole chiave AUTOMOTIVE, ELECTRIC VEHICLE, HARDWARE, MICROCONTROLLORI, PROCESSORI, SOFTWARE
Riferimenti SARAH AZIMI, LUCA STERPONE
Gruppi di ricerca DAUIN - AEROSPACE AND SAFETY COMPUTING LAB
Tipo tesi APPLICATIVA, APPLICATIVA, IN AZIENDA, INDUSTRIALE
Descrizione Electric vehicles (EVs) are becoming increasingly important in addressing the global challenges of sustainability and reducing carbon emissions. EVs powered by clean and renewable energy sources have the potential to significantly reduce emissions and improve air quality, as well as increase energy security. However, the widespread adoption of EVs is hindered by a number of technical challenges, including limited driving range, long charging times, and high battery costs.
One important aspect of EV technology is the motor control system, which plays a crucial role in determining the vehicle's efficiency and overall performance. The development of advanced control techniques for electric motors can significantly improve the energy efficiency of EVs, reducing their operating costs and increasing their driving range. The goal of the proposed thesis is to develop new techniques for controlling electric motors in BEVs through the use of GTM devices, with the aim of improving current performance and reducing energy consumption.
This thesis will be carried out in collaboration with Punch Softronix, a leading provider of power electronics and electric vehicle components. This collaboration will provide the opportunity to apply cutting-edge research to real-world problems and help accelerate the transition to a more sustainable transportation sector. the students will work on state-of-the-art technology, the Infineon AURIX TC3xx development kit, already purchased and available for students.
Based on the student's performance and the advancement of the project, the project can be extended to include a Ph.D. thesis grant.
Conoscenze richieste Knowledge in C programming
Scadenza validita proposta 19/10/2024
PROPONI LA TUA CANDIDATURA