Multi-Physical Mathematical and Machine Learning Models
Dr. Ing. Maria Raluca RAIA
Thesis focused on developing hybrid models combining multiphysics mathematics and machine learning for optimizing electrical motor design and performance prediction.
Permanent Magnet Synchronous Machine for EV Propulsion
Dr. Ing. Cristina-Adina BILAȚIU
Design and electromagnetic analysis of PMSM specifically tailored for electric vehicle propulsion systems, including experimental validation.
Outer Rotor Synchronous Reluctance Machine
Dr. Ing. Răzvan Alexandru INŢE
Development of an outer rotor Synchronous Reluctance Machine designed for light electric propulsion systems, focusing on torque density.
High-Frequency Modelling of Rotating Electrical Machines
Dr. Ing. José Enrique Ruiz-Sarrió
Advanced modelling techniques for predicting high-frequency behavior in electrical machines, essential for modern inverter-fed drives.
Switched Reluctance Machine for HVAC Systems
Dr. Ing. Sorin Iulian COSMAN
Contributions to the study of Switched Reluctance Machine (SRM) drive systems for applications in air conditioning systems of EVs.
Performance Analysis Platform for BEV Powertrains
Dr. Ing. Raul Octavian NEMEȘ
Development of a comprehensive platform for the analysis and performance evaluation of battery electric vehicle (BEV) powertrains.
Synchronous Reluctance Machine for Automotive
Dr. Ing. Florin-Adelin POP-PÎGLEŞAN
Investigation and optimization of Synchronous Reluctance Machines (SynRM) specifically designed for automotive applications.
Multiphysics Design of SynRM
Dr. Ing. Arkadiusz G. DZIECHCIARZ
Comprehensive multiphysics design and analysis methodology for Synchronous Reluctance Machines, focusing on performance and thermal aspects.