Numerical simulations of vector hysteresis processes via the Preisach model and the Energy Based Model: An application to Fe-Si laminated alloys

Antonio, S. Quondam; Ghanim, AbdelRahman M.; Faba, A.; Laudani, Antonino

doi:10.1016/j.jmmm.2021.168372

Cited by 8 publications

(6 citation statements)

References 30 publications

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“…Another important parameter in PWM technology is the modulation index (also known as the amplitude modulation ratio), defined as the ratio of the modulated waveform amplitude to the carrier waveform amplitude V v , with the mathematical expression as shown in Equation (12). In practical engineering applications, K > 1 is over-modulation and K < 1 is under-modulation.…”

Section: Excitation Signal Generation Functionmentioning

confidence: 99%

“…This has brought significant errors to the design process and calculation results of the operating properties of power transformers [9,10]. Therefore, it is necessary to establish a magnetic hysteresis model suitable for numerical calculation of the transformer core material, accurately simulate and predict the magnetic hysteresis loop of the material, and provide an accurate material parameter model for the magnetic field distribution calculation of the product-level transformer laminated core, thereby improving the efficiency of power equipment, reducing energy loss, and playing an important role in the safety and stability of the power grid and the design of power equipment [11][12][13]. Therefore, the measurement, modeling, and magnetic hysteresis loop prediction of grain-oriented silicon steel under PWM excitation have important practical significance and theoretical value.…”

Section: Introductionmentioning

confidence: 99%

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An Improved Preisach Model for Magnetic Hysteresis of Grain-Oriented Silicon Steel under PWM Excitation

Duan,

Gao,

Zhang

et al. 2023

Applied Sciences

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In this paper, the Preisach model for magnetic hysteresis of grain-oriented silicon steel under PWM excitation is improved. First, an improved Preisach model for the magnetic hysteresis of grain-oriented silicon steel under PWM excitation is proposed. Second, the experimental platform for grain-oriented silicon steel sheets under PWM excitation is established. Finally, by comparative analysis, it is concluded that the error of the improved model is far less than that of the classical model (the error here refers to the discrepancy between experimental results and theoretical model predictions). The improved model is 1.4% to 9% more accurate than the classical model. A more accurate model can provide more accurate material parameters for the calculation of the magnetic field in the transformer core, which is of great significance to the production and design of the transformer.

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Section: Excitation Signal Generation Functionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An Improved Preisach Model for Magnetic Hysteresis of Grain-Oriented Silicon Steel under PWM Excitation

Duan,

Gao,

Zhang

et al. 2023

Applied Sciences

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“…In many cases the non‐linearity of the magnetic core, together with the presence of non‐sinusoidal and strongly distorted current and voltage waveforms becomes a critical issue of the design. Moreover, the real magnetic field in these applications is a vector quantity, and the magnetic hysteresis modeling should be conveniently adapted to that 8–17 . In literature, many studies dealing with this issue have been reported.…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, the real magnetic field in these applications is a vector quantity, and the magnetic hysteresis modeling should be conveniently adapted to that. [8][9][10][11][12][13][14][15][16][17] In literature, many studies dealing with this issue have been reported. Analytical formulas based on the losses separation criterion have been proposed: the magnetic power losses are separated into static hysteresis losses and dynamic losses.…”

Section: Introductionmentioning

confidence: 99%

Comparison between different models of magnetic hysteresis in the solution of the TEAM 32 problem

Cardelli

Faba

Laudani

et al. 2023

Int J Numerical Modelling

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The numerical modeling of magnetic materials in simulators is a difficult task, above all in real devices with specific excitation. The aim of this work is to compare the accuracy of scalar and vector Preisach models in a well know test benchmark: the TEAM 32 problem. The availability of measured data for this benchmark test and the simple geometry allow us to build hysteresis models and to test them in a 2D finite element analysis (FEA) scheme. The specific numerical formulation of each hysteresis model implemented is described, including the technique for the numerical identification of parameters starting from measured data. The comparison among the models is done in terms of accuracy, but also in terms of easy implementation in the FEA scheme and of computational cost.

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“…Hysteresis loops of ferromagnetic materials can be predicted using suitable mathematical-phenomenological models (Schneider et al , 2022; Schneider et al , 2023). Among these, in addition to the milestone paper by Stoner and Wohlfarth (1948), should be mentioned Preisach-based models (Mayergoyz, 2003; Cardelli et al , 2010; Ghanim et al , 2019) and those of the play and stop type (Bobbio et al , 1997; Matsuo et al , 2004; Krasnosel’skii and Pokrovskii, 2012; Antonio et al , 2021). All these types of models mentioned above are somehow inspired by the physics of magnetism and can accurately represent a wide range of soft ferromagnetic materials; however, the identification process of the model parameters (Antonio et al , 2020; Ghanim and Rimal, 2020) needs usually an extensive set of measurements.…”

Section: Introductionmentioning

confidence: 99%

Limitations of Jiles–Atherton models to study the effect of hysteresis in electrical steels under different excitation regimes

Atyia,

Ghanim

2023

COMPEL

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Purpose The accurate modeling of magnetic hysteresis in electrical steels is important in several electrical and electronic applications. Numerical models have long been known that can correctly reproduce some typical behaviours of these magnetic materials. Among these, the model proposed by Jiles and Atherton must certainly be mentioned. This model is intuitive and fairly easy to implement and identify with relatively few experimental data. Also, for this reason, it has been extensively studied in different formulations. The developments and numerical tests made on this hysteresis model have indicated that it is able to accurately reproduce symmetrical cycles, especially the major loop, but often it fails to reproduce non-symmetrical cycles. This paper aims to show the positive aspects and highlight the defects of the different formulations in predicting the minor loops of electrical steels excited by non-sinusoidal currents. Design/methodology/approach The different formulations are applied to different electrical steels, and the data coming from the simulations are compared with those measured experimentally. The direct and inverse Jiles–Atherton models, including the introduction of the dissipative factor approach, are presented, and their limitations are proposed and validated using the measurements of three non-grain-oriented materials. Only the measured major loop is used to identify the parameters of the Jiles–Atherton model. Furthermore, the direct and inverse Jiles–Atherton models were used to simulate the minor loops as well as the hysteresis cycles with direct component (DC) bias excitation. Finally, the simulation results are discussed and compared to measurements for each study case. Findings The paper indicates that both the direct and the inverse Jiles–Atherton model formulations provide a good agreement with the experimental data for the major loop representation; nevertheless, both models can not accurately predict the minor loops even when the modification approaches proposed in the literature were implemented. Originality/value The Jiles–Atherton model and its modifications are widely discussed in the literature; however, some limitations of the model and its modification in the case of the distorted current waveform are not completely highlighted. Furthermore, this paper contains an original discussion on the accuracy of the prediction of minor loops from distorted current waveforms, including DC bias.

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Numerical simulations of vector hysteresis processes via the Preisach model and the Energy Based Model: An application to Fe-Si laminated alloys

Cited by 8 publications

References 30 publications

An Improved Preisach Model for Magnetic Hysteresis of Grain-Oriented Silicon Steel under PWM Excitation

An Improved Preisach Model for Magnetic Hysteresis of Grain-Oriented Silicon Steel under PWM Excitation

Comparison between different models of magnetic hysteresis in the solution of the TEAM 32 problem

Limitations of Jiles–Atherton models to study the effect of hysteresis in electrical steels under different excitation regimes

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