Stochastic post-processing calculation of iron losses - application to a PMSM

Mircea Fratila (1) , Rindra Ramarotafika (1) , Abdelkader Benabou (1) , Stéphane Clenet (1) , Abdelmounaouim Tounzi (1)

1 L2EP - Laboratoire d’Électrotechnique et d’Électronique de Puissance - ULR 2697

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. 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. 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 O formulations. 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.

Mots clés: Uncertainty quantification; Permanent magnet synchronous machine; Iron losses; Finite Element Method; Post processing; Slinky stator; Stochastic model; Stochastic modelling; variability

Domaines: Energie électrique

Mircea Fratila, Rindra Ramarotafika, Abdelkader Benabou, Stéphane Clenet, Abdelmounaouim Tounzi. Stochastic post-processing calculation of iron losses - application to a PMSM. COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, 2013, 32 (4), pp.1383-1392. ⟨10.1108/03321641311317185⟩. ⟨hal-00854652⟩