Stochastic Jiles-Atherton model accounting for soft magnetic material properties variability

Rindra Ramarotafika (1) , Abdelkader Benabou (1) , Stéphane Clenet (1)

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

Industrial processing (cutting, assembly...) of steel laminations can lead to significant modifications in their magnetic properties. Moreover, the repeatability of these modifications is not usually verified because of the tool wear or, more intrinsically, to the manufacturing process itself. When investigating the iron losses, it is generally observed that the hysteresis losses contribution are more likely to be affected. In the present work, twenty eight (28) samples of slinky stator (SS) are investigated, at a frequency of 5Hz and 1.5T. A stochastic model is then developed, using the Jiles-Atherton model together with a statistical approach to account for the variability of the hysteresis loops of the considered samples.

Mots clés: Jiles Atherton model; Hysteresis; Ferromagnetic material; Variability; slinky stator; Stochastic modelling

Domaines: Energie électrique

Rindra Ramarotafika, Abdelkader Benabou, Stéphane Clenet. Stochastic Jiles-Atherton model accounting for soft magnetic material properties variability. COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, 2013, 32 (5), pp.1679 - 1691. ⟨10.1108/COMPEL-04-2013-0125⟩. ⟨hal-00860744⟩