Advanced approach for static part of loss-surface iron loss model
| Autor: | Oualid Messal, Sebastien Buffat, Anh-Tuan Vo, Afef Kedous-Lebouc, M. Fassenet, Patrick Mas |
|---|---|
| Přispěvatelé: | Laboratoire de Génie Electrique de Grenoble (G2ELab ), Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA), Schneider Electric ( SE) |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
010302 applied physics
Static model hysteresis model Computer science [SPI.NRJ]Engineering Sciences [physics]/Electric power Magnetic material modeling Iron loss 02 engineering and technology 021001 nanoscience & nanotechnology Condensed Matter Physics 01 natural sciences Loss Surface model Electronic Optical and Magnetic Materials Model validation Hysteresis Control theory 0103 physical sciences 0210 nano-technology Static hysteresis Saturation (magnetic) Excitation Magnetization curve |
| Zdroj: | Journal of Magnetism and Magnetic Materials Journal of Magnetism and Magnetic Materials, Elsevier, 2020, 24th Soft Magnetic Materials (SMM) Conference, 502, pp.166401. ⟨10.1016/j.jmmm.2020.166401⟩ |
| ISSN: | 0304-8853 |
| DOI: | 10.1016/j.jmmm.2020.166401⟩ |
| Popis: | International audience; Hysteresis models allow the prediction of iron losses in materials under complex magnetic excitation, with accuracy depending on their principle and identification procedure. Commonly, to achieve high accuracy, a model may require a broad set of experimental input data, which is in some cases, not easy to obtain. We propose, in this study, a static model focusing on simplicity while still striving for accuracy. Its principle is to represent the variation of the field deviation between reversal curves and a near saturation hysteresis loop. In terms of input data, this model requires the experimental first magnetization curve and a few quasi-static centered hysteresis loops of the material. Following the principle description, the identification procedure, the model validation, as well as a sensitivity study are presented in detail. |
| Databáze: | OpenAIRE |
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