Stochastic post‐processing calculation of iron losses – application to a PMSM

Abstract

Purpose

To take account of the uncertainties introduced on the magnetic properties during the manufacturing process, the present work aims to focus on the stochastic modelling of iron losses in electrical machine stators.

Design/methodology/approach

The investigated samples are composed of 28 slinky stators, coming from the same production chain. The stochastic modelling approach is first described. Thereafter, the Monte‐Carlo sampling method is used to calculate, in post‐processing, the iron loss density in a PMSM that is modelled by the finite element method.

Findings

The interest of such an approach is emphasized by calculating the main statistical characteristics associated to the losses variability, which are Gaussian distributed for A and Ω formulations.

Originality/value

The originality of the approach is due to the fact that the global influence of the manufacturing process (cutting, assembly, …) on magnetic properties of the considered samples is taken into account in the way of computing the iron losses.

Citation

Fratila, M., Ramarotafika, R., Benabou, A., Clénet, S. and Tounzi, A. (2013), "Stochastic post‐processing calculation of iron losses – application to a PMSM", COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, Vol. 32 No. 4, pp. 1383-1392. https://doi.org/10.1108/03321641311317185