Modeling of history‐dependent magnetization in the finite element method on the example of a postassembly rotor magnetizer

Bavendiek, Gregor; Müller, Fabian; Steentjes, Simon; Hameyer, Kay

doi:10.1002/jnm.2674

Cited by 8 publications

(4 citation statements)

References 18 publications

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“…The model has also been adopted in several phenomenological models of hysteresis [84,304,[310][311][312][313], in a similar way as the Langevin function. It has also been applied to model lamination steel [188,189,[314][315][316], and has been generalized with exponential functions [317].…”

Section: Phenomenological Sigmoid Functionsmentioning

confidence: 99%

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Review of Hysteresis Models for Magnetic Materials

Mörée

Leijon

2023

Energies

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There are several models for magnetic hysteresis. Their key purposes are to model magnetization curves with a history dependence to achieve hysteresis cycles without a frequency dependence. There are different approaches to handling history dependence. The two main categories are Duhem-type models and Preisach-type models. Duhem models handle it via a simple directional dependence on the flux rate, without a proper memory. While the Preisach type model handles it via memory of the point where the direction of the flux rate is changed. The most common Duhem model is the phenomenological Jiles–Atherton model, with examples of other models including the Coleman–Hodgdon model and the Tellinen model. Examples of Preisach type models are the classical Preisach model and the Prandtl–Ishlinskii model, although there are also many other models with adoptions of a similar history dependence. Hysteresis is by definition rate-independent, and thereby not dependent on the speed of the alternating flux density. An additional rate dependence is still important and often included in many dynamic hysteresis models. The Chua model is common for modeling non-linear dynamic magnetization curves; however, it does not define classical hysteresis. Other similar adoptions also exist that combine hysteresis modeling with eddy current modeling, similar to how frequency dependence is included in core loss modeling. Most models are made for scalar values of alternating fields, but there are also several models with vector generalizations that also consider three-dimensional directions.

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Section: Phenomenological Sigmoid Functionsmentioning

confidence: 99%

“…This could also be a drawback, because these functions never actually reach these extrema, and the curves could only reach saturation at infinity. Including coercivity, it is written as [311,313]:…”

Section: Phenomenological Sigmoid Functionsmentioning

confidence: 99%

Review of Hysteresis Models for Magnetic Materials

Mörée

Leijon

2023

Energies

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“…Approaches are also encountered where synchronous machine designers attempt to select PMs in a way to achieve immunity against demagnetisation, for example, when an ITSC occurs. Authors of [202], [203], [204] performed an analysis of the effect of demagnetization on FEM model where they proposed selection of the PMs. The article [206] proposes a method affecting the anti-demagnetization ability of PMs.…”

Section: Pmsm Models In Diagnosticsmentioning

confidence: 99%

Fault Diagnosis and Fault-Tolerant Control of PMSM Drives–State of the Art and Future Challenges

et al. 2022

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The issues of monitoring and fault diagnosis of drives with permanent magnet synchronous motors (PMSM) are currently very topical due to the increasing use of these drives in safety-critical devices. Every year, more and more articles on this subject are published. Therefore, the aim of this article is to update the overview of diagnostic methods and techniques for PMSM drives. Each of the main chapters of the article focuses on a specific element of the drive system (motor, power converter, measuring sensors), with particular emphasis on the components of the motor (stator windings, magnets, bearings, rotor). The main sections on PMSM fault diagnosis are divided according to the type of methods used to obtain the symptoms of the damage. In addition, a review of methods using the analysis of control structure signals for the diagnosis of damage to a vector-controlled motor is presented, as well as the latest achievements of researchers in the field of shallow and deep neural networks for the detection and classification of PMSM drives failures. Based on the presented literature analyses, some development trends and challenges related to the development of diagnostics and fault-tolerant control of PMSM drives are discussed in the conclusion part.

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“…4 The second major topic treats the numerical modelling of the electromagnetic behaviour of electric and magnetic materials, with contributions on the modelling of magnetoelectric composites 5 and magnetic hysteresis. 6,7 The third major topic concerns homogenization and reduced order models, with contributions to the time-domain homogenization of windings, 8 extraction of capacitance matrices 9 and lumped element modelling. 10 The fourth major topic concerns application-specific numerical techniques, with contributions to the modelling of synchronous reluctance machines, 11 graded surge arresters, 12 high voltage power cables 13 and DC-AC power converters.…”

mentioning

confidence: 99%

Special Issue: The 11th International Symposium on Electric and Magnetic Fields (EMF 2018)

Gersem

Kurz

Schöps

et al. 2020

Int J Numerical Modelling

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On behalf of the Editorial Board, we are pleased to present a selection of papers related to the 11th International Symposium on Electric and Magnetic Fields (EMF 2018) held in Darmstadt, Germany, on 10-12 April, 2018.The EMF Symposium series, whose first edition was held in Liège, Belgium, in 1992, aims at building a bridge between recent research advances in mathematical and numerical modelling of electromagnetic fields and the growing number of industrial problems requiring such techniques. The 11th edition was organized by the Institute for Accelerator Science and Electromagnetic Fields and the Centre for Computational Engineering of the Technische Universität Darmstadt, and attracted 95 participants from 19 countries.Among the 84 presentations in the symposium program, 31 manuscripts were submitted for peer review. Fourteen papers were selected for publication in this special issue of the International Journal of Numerical Modelling: Electronic Networks, Devices and Fields. The high scientific and technical quality of the Symposium is well reflected in the quality of the manuscripts contained in this special issue.Four broad topics were covered during the 11th edition of the symposium.The first major topic considers the mathematical modelling of electromagnetic problems in view of their eventual numerical solution on computers, with contributions on the coupling of finite element and multipole methods, 1 boundary element methods, 2 inversion methods 3 and electromagnetic transformation laws. 4 The second major topic treats the numerical modelling of the electromagnetic behaviour of electric and magnetic materials, with contributions on the modelling of magnetoelectric composites 5 and magnetic hysteresis. 6,7 The third major topic concerns homogenization and reduced order models, with contributions to the time-domain homogenization of windings, 8 extraction of capacitance matrices 9 and lumped element modelling. 10 The fourth major topic concerns application-specific numerical techniques, with contributions to the modelling of synchronous reluctance machines, 11 graded surge arresters, 12 high voltage power cables 13 and DC-AC power converters. 14 We express our gratitude to all the members of the EMF scientific committee-P.

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Modeling of history‐dependent magnetization in the finite element method on the example of a postassembly rotor magnetizer

Cited by 8 publications

References 18 publications

Review of Hysteresis Models for Magnetic Materials

Review of Hysteresis Models for Magnetic Materials

Fault Diagnosis and Fault-Tolerant Control of PMSM Drives–State of the Art and Future Challenges

Special Issue: The 11th International Symposium on Electric and Magnetic Fields (EMF 2018)

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