AC motor impedance predictive modeling methodology taking into account windings variability

Arthur Piat (1, 2) , Pierre-Etienne Lévy (2) , Sami Hlioui (2) , François Costa (2, 3) , Sébastien Serpaud (1)

1 IRT Saint Exupéry - Institut de Recherche Technologique
2 SATIE - Systèmes et Applications des Technologies de l'Information et de l'Energie
3 UPEC UP12 - Université Paris-Est Créteil Val-de-Marne - Paris 12

This paper presents a unified predictive modeling for common-mode (CM) and differential-mode (DM) impedance estimation of a Permanent Magnet Synchronous Motor (PMSM). This methodology combines 2D Finite Element modeling and generated lumped parameter circuit in Spice environment. It is then used to determine the consequences of design choices and evaluate the importance of controlling the winding process in the PMSM manufacturing. By doing so and by changing parts of the PMSM design, the overall high frequency response of the system with regards to input parameters can help in satisfying EMC high frequency constraints (between 1 kHz and 10 MHz).This paper presents evidences demonstrating the importance of design parameter such as the number of wire in parallel used by turns and the overall placement of conductor not only with regards to the slot,

Keywords: Electromagnetic Compatibility (EMC); common-mode (CM); differential-mode (DM); electrical machine; HF modeling; finite element method

Domains: Electromagnetism

Arthur Piat, Pierre-Etienne Lévy, Sami Hlioui, François Costa, Sébastien Serpaud. AC motor impedance predictive modeling methodology taking into account windings variability. Science and Technology for Energy Transition, 2024, 79, pp.5. ⟨10.2516/stet/2023039⟩. ⟨hal-04429263⟩