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PhD : "Design and Implementation of Electric Motor Drive for Automotive Cooling Water Pump"

20 dicembre 2023
Amphithéâtre M. Grünewald, bâtiment 25, Campus de Cronenbourg

PhD defence : Milad AKRAMI

Team: EM3

Date & time : 20 December 2023, at 14:30 at Amphithéâtre M. Grünewald, bâtiment 25, Campus de Cronenbourg

Title :  "Design and Implementation of Electric Motor Drive for Automotive Cooling Water Pump"

Abstract : 

There has been a rapid increase of variable-speed drives based on hybrid drives in the automotive industry. This growth is also influencing the industry demand for variable-speed permanent magnet (PM) drives. Therefore, permanent magnet synchronous motors (PMSMs) and brushless DC (BLDC) motors have become a popular choice for automotive applications including EVs and hybrid electric vehicles (HEVs) over the past decades due to several features including high torque density, high efficiency, and high power density. Traditionally, PMSM drives are controlled by field-oriented control (FOC) using Proportional-Integral (PI) controllers for speed and torque regulation. Designing controller parameters based on linear methods requires linear approximation, which is dependent on the operating point of the system. Model-based nonlinear control strategies such as flatness-based control have been proposed as a solution to the nonlinear nature of the PMSM drive system. A trajectory planning method for flatness-based control of PMSM drives for EV water pump application is proposed in this thesis. This approach is primarily intended to ensure PMSM motor current remains within permissible limits through indirect flatness-based control while still having the advantages of one-loop control. Furthermore, the constraint on switching voltage has been taken into account in the proposed trajectory planning method to maintain the proper operation of the PMSM drive system in steady-state mode as well as during transients. A window-based trajectory planning function is used for the PMSM drive in this method. The trajectory function is generated using an optimization algorithm considering the speed overshoot, motor current, and switching voltage constraints. Unlike conventional trajectory planning, which is a second-order function, this method takes controller limits into account while using one-loop flatness-based control.

The jury will be composed of:

  • Mme. ORLOWSKA-KOWALSKA Teresa, (Rapporteuse, Professeur, Wroclaw University of Science and Technology)
  • M. GAO Fei, (Rapporteur, Professeur, Université Technologique de Belfort Montbéliard (UTBM), Institut FEMTO-ST)
  • M. MEIBODY-TABAR Farid, (Examinateur, Professeur, ENSEM Nancy, Laboratoire LEMTA)
  • M. PIERFEDERICI Serge, (Examinateur, Professeur, ENSEM Nancy, Laboratoire LEMTA)
  • M. KAMMERER Jean-Baptiste, (Examinateur, Maître de conférences HDR, Université de Strasbourg, Laboratoire ICube)
  • M. NAHID-MOBARAKEH Babak, (Examinateur, Professeur, McMaster University, Canada)
  • M. JAMSHIDPOUR Ehsan, (Co-directeur, Maître de conférences, Université de Lorraine, Laboratoire GREEN)
  • M. FRICK Vincent, (Directeur, Professeur, Université de Strasbourg, Laboratoire ICube)

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