Dynamic Simulation of a Fe-Ga Energy Harvester Prototype Through a Preisach-Type Hysteresis Model

Palumbo, Stefano; Chiampi, Mario; Bottauscio, O.; Zucca, M.

doi:10.3390/ma12203384

Cited by 5 publications

(5 citation statements)

References 34 publications

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“…Let us also note the important effect of external noise which can be correctly evaluated only by probabilistic and statistical methods, and, therefore, we have to introduce probabilistic characteristics for some components of the system [172]. The modeling of hysteresis effects as applied to energy storage problems has been carried out in [167,[173][174][175][176][177][178][179][180].…”

Section: Technical Systemsmentioning

confidence: 99%

The Preisach model of hysteresis: fundamentals and applications

Semenov,

Borzunov,

Meleshenko

et al. 2024

Phys. Scr.

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The Preisach model is a well-known model of hysteresis in the modern nonlinear science. This paper provides an overview of works that are focusing on the study of dynamical systems from various areas (physics, economics, biology), where the Preisach model plays a key role in the formalization of hysteresis dependencies. Here we describe the input-output relations of the classical Preisach operator, its basic properties, methods of constructing the output using the demagnetization function formalism, a generalization of the classical Preisach operator for the case of vector input-output relations. Various generalizations of the model are described here in relation to systems containing ferromagnetic and ferroelectric materials. The main attention we pay to experimental works, where the Preisach model has been used for analytic description of the experimentally observed results. Also, we describe a wide range of the technical applications of the Preisach model in such fields as energy storage devices, systems under piezoelectric effect, models of systems with long-term memory. The properties of the Preisach operator in terms of reaction to stochastic external impacts are described and a generalization of the model for the case of the stochastic threshold numbers of its elementary components is given.

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Section: Technical Systemsmentioning

confidence: 99%

The Preisach model of hysteresis: fundamentals and applications

Semenov,

Borzunov,

Meleshenko

et al. 2024

Phys. Scr.

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“…This approach leads to the model of an anhysteretic magnetization curve expressed with the hyperbolic tangent function A convenient model of hysteresis should be simple to use in calculations, described with a small set of parameters, and provide a good fit to the experimental data. Various mathematical models have been developed to describe hysteresis loops, such as the wide-spread Jiles-Atherton (JA) [2][3][4] and Preisach formalisms [5][6][7][8]. However, parameter determination for the JA model can be complicated, whereas the Preisach model can be computationally demanding.…”

Section: Model Descriptionmentioning

confidence: 99%

“…Plotting F(a, H) with the same set of parameters as in Figure 4 and some a 1, the situation similar to the one in Figure 5 is obtained, where the upper and lower branches are apart by ∆B and do not coincide at H tip , B tip , Figure 5. To enforce coincidence, B s is adjusted by introducing the additional constraint B upper H tip = B lower H tip = B tip (7) which causes B s to deviate somewhat from its original physical interpretation. Furthermore, additional constraint is required to limit the deviation, for example 0.8b max ≤ B s ≤ 1.2b max (8) Energies 2020, 13, 6500 6 of 14 shows good conformance to experimental data (Figure 6).…”

Section: Coincidence Point Adjustmentmentioning

confidence: 99%

The Use of Hypergeometric Functions in Hysteresis Modeling

Chwastek

Herceg

2020

Energies

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Accurate hysteresis models are necessary for modeling of magnetic components of devices such as transformers and motors. This study presents a hysteresis model with a convenient analytical form, based on hypergeometric functions with one free parameter, built upon a class of parameterized curves. The aim of this work is to explore suitability of the presented model for describing major and minor loops, as well as to demonstrate improved agreement between experimental and modeled hysteresis loops. The procedure for generating first order reversal curves is also discussed. The added parameter, introduced into the model, controls the shape of the model curve, especially near saturation. It can be adjusted to provide better agreement between measured and model curves. The model parameters are nonlinearly dependent; therefore, they are determined in a nonlinear curve fitting procedure. The choice of the initial approximation and a suitable set of constraints for the optimization procedure are discussed. The inverse of the model function, required to generate first order reversal curves, cannot be obtained in analytical form. The procedure to calculate the inverse numerically is presented. Performance of the model is demonstrated and verified on experimental data obtained from measurements on construction steel sheets and grain-oriented electrical steel samples.

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“…The Classical Preisach Model (CPM) was, for many years, used to describe a wide range of hysteretic processes observed in physics but also in other fields like biology or economics [36][37][38]. There is still a strong debate between the researchers using this model if the hysteron has or should have a link with a physical entity in the sample under examination.…”

Section: Classical and Generalized Preisach Modelsmentioning

confidence: 99%

Reversible and Irreversible Processes in Drying and Wetting of Soil

Bodale¹,

Stancu

2019

Materials

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In this article, we provide a detailed description of a modeling technique for the capillary hysteresis in a soil-like porous material based on a Generalized Preisach Model. The identification of the reversible and irreversible Preisach distributions was performed with the first-order reversal curve (FORC) diagram technique, which is very popular now in magnetism and in other areas of science to give a fingerprint of the studied system. A special attention was given to the evaluation of the reversible component. In this case, we used a set of data published in 1965 by Morrow and Harris which has been used as a reference by many other researchers since. The advantage of this approach is that the experimental FORC distributions can be described with analytical functions and easily implemented in the mentioned Preisach-type model. Our research is also focused on the development of a characterization tool for the soil using the soil-moisture hysteresis. The systematic use of scanning curves provides a (FORC) diagram linked to the physical properties of the studied soil. The agreement between the experimental data and the Preisach model using the set of parameters found through the FORC technique is really noticeable and gives a good practical option to the researchers to use a method with a strong predictive capability.

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Dynamic Simulation of a Fe-Ga Energy Harvester Prototype Through a Preisach-Type Hysteresis Model

Cited by 5 publications

References 34 publications

The Preisach model of hysteresis: fundamentals and applications

The Preisach model of hysteresis: fundamentals and applications

The Use of Hypergeometric Functions in Hysteresis Modeling

Reversible and Irreversible Processes in Drying and Wetting of Soil

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