| KEYWORD |
Area Engineering
High-Efficient Torque Control of Electrical Excited Synchronous Motors
keywords ELECTRIC AND HYBRID VEHICLES, ELECTRIC MACHINES, EXPERIMENTAL TESTS, EXPERIMENTAL, IMPLEMENTATION OF ALGORITHM, MOTOR CONTROL
Reference persons IUSTIN RADU BOJOI, FABIO MANDRILE, SANDRO RUBINO
Research Groups PEEMD
Thesis type EXPERIMENTAL AND MODELING, EXPERIMENTAL AND THEORETICAL
Description The electrification processes involving transports are leading to the development of various traction solutions using ac motors. Currently, most traction solutions for hybrid- and electric- vehicles use permanent magnet synchronous motors (PMSM) to maximize the power/density. However, PMSMs almost all use rare-earth permanent magnets (PMs), whose availability and cost increasingly depend on geopolitical and economic factors. According to this scenario, several car manufacturers have proposed alternative traction solutions using electrical excited synchronous motors (EESMs). The EESM, in many cases also called wound-field synchronous motor, replaces the PMs with an excitation winding placed on the rotor whose injected current can be regulated using slip rings or wireless power transfer solutions. This way, the magnetization level can be calibrated at any operating point to maximize motor efficiency.
Currently, the technical literature reports few contributions dealing with the efficient torque control of EESMs for traction. Therefore, the goal of this master thesis is to support the development of a torque controller maximizing the efficiency of traction EESMs in any torque-speed condition. The experimental validation of the control algorithm will be carried out on a traction EESM adopted by Renault Zoe R135.
See also 2023_eesm_hetc.pdf https://www.peic.polito.it/it/education/call_for_theses/available_topics/thesis_at_polito/high_efficient_torque_control_of_electrical_excited_synchronous_motors
Required skills • Basic knowledge of power electronics, electric machines, and drives
• Basic knowledge of digital control
• Basic knowledge of Matlab/Simulink
• Problem-solving skills
• C programming skills (preferred)
Notes Duration of the thesis: 6 months minimum
Deadline 12/04/2025
PROPONI LA TUA CANDIDATURA