2023
DOI: 10.3390/app13085181
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A Numerical Comparison between Preisach, J-A and D-D-D Hysteresis Models in Computational Electromagnetics

Abstract: The incorporation of hysteresis models in computational electromagnetic software is of paramount importance for the accurate prediction of the ferromagnetic devices’ performance. The Preisach and Jiles-Atherton (J-A) models are frequently used for this purpose. The former is more accurate and can represent a broad range of magnetic materials, but it is computationally expensive. The latter is more efficient but can accurately model only soft ferromagnetic materials. In this paper, a recently proposed hysteresi… Show more

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Cited by 4 publications
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“…The value of the normalization constant K was equal to 0.0025 in this case. It is evident from the inspection of Figures 2 and 3 that hysteresis loops in quasi-static magnetization conditions for the considered core are regular and may be easily described, e.g., using the phenomenological description based on the arctangent function [31,32] or another convenient model [33,34]. However, in the present paper, we follow the approach outlined in [1] and take the experimentally determined H = H(B) curves as a reference in order to avoid additional errors inevitably introduced by the representations of quasi-static hysteresis curves.…”
Section: B mentioning
confidence: 99%
“…The value of the normalization constant K was equal to 0.0025 in this case. It is evident from the inspection of Figures 2 and 3 that hysteresis loops in quasi-static magnetization conditions for the considered core are regular and may be easily described, e.g., using the phenomenological description based on the arctangent function [31,32] or another convenient model [33,34]. However, in the present paper, we follow the approach outlined in [1] and take the experimentally determined H = H(B) curves as a reference in order to avoid additional errors inevitably introduced by the representations of quasi-static hysteresis curves.…”
Section: B mentioning
confidence: 99%