Published June 2021 | Version v1
Journal article

Alternating and rotational loss prediction accuracy of vector Jiles-Atherton model

  • 1. Department of Electrical Engineering and Automation, Aalto University, FI-00076 Espoo (Finland)
  • 2. Unit of Electrical Engineering, Tampere University, FI-33014 Tampere (Finland)
  • 3. Department of Mathematics and Systems Analysis, Aalto University, FI-00076 Espoo (Finland)
  • 4. Institute of Fundamentals and Theory in Electrical Engineering, Graz University of Technology, A-8010 Graz (Austria)
  • 5. University of Lille, Arts et Metiers ParisTech, Centrale Lille, HEI, EA 2697 – L2EP – Laboratory of Electrical Engineering and Power Electronics, F-59000 Lille (France)

Description

In this paper, the vector extension of the Jiles-Atherton hysteresis model is modified to predict both alternating and rotational field strength variations observed in a nonoriented silicon steel sheet. The model parameters are changed to be functions of the magnitude and direction of flux density, and the anhysteretic magnetic characteristics are identified from several unidirectional alternating B(H)measurements. We demonstrate that the modified vector Jiles-Atherton model can predict both alternating and rotational field strength variations with better accuracy than the "basic" approach.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.jmmm.2020.167690

Additional details

Identifiers

DOI
10.1016/j.jmmm.2020.167690;
PII
S0304885320326573;

Publishing Information

Journal Title
Journal of Magnetism and Magnetic Materials
Journal Volume
527
Journal Page Range
vp.
ISSN
0304-8853
CODEN
JMMMDC

INIS

Country of Publication
Netherlands
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
54093840
Subject category
S36: MATERIALS SCIENCE;
Descriptors DEI
FLUX DENSITY; SILICON; STEELS; VECTORS
Descriptors DEC
ALLOYS; CARBON ADDITIONS; ELEMENTS; IRON ALLOYS; IRON BASE ALLOYS; SEMIMETALS; TENSORS; TRANSITION ELEMENT ALLOYS

Optional Information

Copyright
Copyright (c) 2020 Elsevier B.V. All rights reserved.