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Review of Hysteresis Models for Magnetic Materials

Author

Listed:
  • Gustav Mörée

    (Division of Electricity, Department of Electrical Engineering, Uppsala University, 75121 Uppsala, Sweden)

  • Mats Leijon

    (Division of Electricity, Department of Electrical Engineering, Uppsala University, 75121 Uppsala, Sweden)

Abstract

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.

Suggested Citation

  • Gustav Mörée & Mats Leijon, 2023. "Review of Hysteresis Models for Magnetic Materials," Energies, MDPI, vol. 16(9), pages 1-66, May.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:9:p:3908-:d:1140099
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    References listed on IDEAS

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    1. Santesmases, J.G. & Ayala, J. & Cachero, A.H., 1967. "Analog simulation of a ferroresonant system including analysis of hysteresis loop," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 9(2), pages 76-80.
    2. Witold Mazgaj & Michal Sierzega & Zbigniew Szular, 2021. "Approximation of Hysteresis Changes in Electrical Steel Sheets," Energies, MDPI, vol. 14(14), pages 1-18, July.
    3. Marko Jesenik & Marjan Mernik & Mladen Trlep, 2020. "Determination of a Hysteresis Model Parameters with the Use of Different Evolutionary Methods for an Innovative Hysteresis Model," Mathematics, MDPI, vol. 8(2), pages 1-27, February.
    4. Dejana Herceg & Krzysztof Chwastek & Đorđe Herceg, 2020. "The Use of Hypergeometric Functions in Hysteresis Modeling," Energies, MDPI, vol. 13(24), pages 1-14, December.
    5. Mingcong Deng & Changan Jiang & Akira Inoue & Chun-Yi Su, 2011. "Operator-based robust control for nonlinear systems with Prandtl–Ishlinskii hysteresis," International Journal of Systems Science, Taylor & Francis Journals, vol. 42(4), pages 643-652.
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    Cited by:

    1. Srđan Divac & Marko Rosić & Stan Zurek & Branko Koprivica & Krzysztof Chwastek & Milan Vesković, 2023. "A Methodology for Calculating the R - L Parameters of a Nonlinear Hysteretic Inductor Model in the Time Domain," Energies, MDPI, vol. 16(13), pages 1-14, July.
    2. Xiaotong Fu & Shuai Yan & Zhifu Chen & Xiaoyu Xu & Zhuoxiang Ren, 2024. "A Practical Hybrid Hysteresis Model for Calculating Iron Core Losses in Soft Magnetic Materials," Energies, MDPI, vol. 17(10), pages 1-14, May.
    3. Ermin Rahmanović & Martin Petrun, 2024. "Analysis of Higher-Order Bézier Curves for Approximation of the Static Magnetic Properties of NO Electrical Steels," Mathematics, MDPI, vol. 12(3), pages 1-23, January.

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