Power Losses Models for Magnetic Cores: A Review

Rodriguez-Sotelo, Daniela; Licea, Martín Antonio Rodríguez; Araujo-Vargas, Ismael; Prado-Olivarez, Juan; Barranco-Gutiérrez, Alejandro I.; Pérez-Pinal, Francisco J.

doi:10.3390/mi13030418

Cited by 37 publications

(27 citation statements)

References 143 publications

(218 reference statements)

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“…This is the basis for models such as the modified Steinmetz equation [40], generalized Steinmetz equation [22], the improved generalized Steinmetz equation (iGSE) [45], and the improved improved generalized Steinmetz equation [30]. Further discussion on this topic is available in [24], [46], [47]. For its simplicity, the iGSE remains the preferred method for core loss calculations.…”

Section: Impact Of Duty Cycle In Triangular Waveformsmentioning

confidence: 99%

Why MagNet: Quantifying the Complexity of Modeling Power Magnetic Material Characteristics

Chen¹

2023

Preprint

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This paper motivates the development of sophisti- cated data-driven models for power magnetic material charac- teristics. Core losses and hysteresis loops are critical information in the design process of power magnetics, yet the physics behind them is not fully understood. Both losses and hysteresis loops change for each magnetic material, are highly nonlinear, and depend heavily on the electrical operating conditions (e.g., wave- form, frequency, amplitude, dc bias), the mechanical properties (e.g. pressure, vibration), as well as temperature and geometry of the magnetic components. Understanding the complexity of these factors is important for the development of accurate models and their applicability and limitations. Existing studies on power magnetics are usually developed based on a small amount of data and do not reveal the full magnetic behavior across a wide range of operating conditions. In this paper, based on a recently developed large-scale open-source database – MagNet – the core losses and hysteresis loops of Mn-Zn ferrites are analyzed over a wide range of amplitudes, frequencies, waveform shapes, dc bias levels, and temperatures, to quantify the complexity of modeling magnetic core losses, amplitude permeability, and hysteresis loops and provide guidelines for modeling power magnetics with data- driven methods.

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Section: Impact Of Duty Cycle In Triangular Waveformsmentioning

confidence: 99%

Why MagNet: Quantifying the Complexity of Modeling Power Magnetic Material Characteristics

Chen¹

2023

Preprint

View full text Add to dashboard Cite

show abstract

“…This is the basis for models such as the modified Steinmetz equation [34], generalized Steinmetz equation [16], the improved generalized Steinmetz equation (iGSE) [40], and the improved improved generalized Steinmetz equation [26]. Further discussion on this topic is available in [18], [41], [42]. For its simplicity, iGSE remains the preferred method for core loss calculations.…”

Section: Impact Of Duty Cycle In Triangular Waveformsmentioning

confidence: 99%

Why MagNet: Quantifying the Complexity of Modeling Power Magnetic Material Characteristics

Chen¹

2023

Preprint

View full text Add to dashboard Cite

Core losses and hysteresis loops are critical information in the design process of power magnetics, yet the physics behind core loss and hysteresis loops are not fully understood. Core losses and hysteresis loops change for each magnetic material, are highly nonlinear, and depend heavily on the electrical operating conditions (e.g., waveform, frequency, amplitude, dc bias) and the mechanical properties (e.g. pressure, vibration), as well as temperature, and geometry of the magnetic components. Understanding the complexity of these factors is important for the development of accurate models, in addition to addressing the applicability and limitations of each model. Existing studies on power magnetics are usually developed based on a small amount of data and do not reveal the full magnetic behavior across a wide range of operating conditions. In this paper, based on a recently developed large-scale open-source database - MagNet - the core losses and hysteresis loops of Mn-Zn ferrites are analyzed in a wide range of amplitudes, frequencies, waveform shapes, dc bias, and temperatures, to quantify the complexity of modeling magnetic core losses and hysteresis loops and provide guidelines for modeling power magnetics with data-driven methods.

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“…Thus, for high frequency applications, these materials are more preferred than the conventional ferrites, as reducing core losses is very significant at higher frequencies. Also, amorphous materials are more preferred for applications requiring higher saturation flux densities, since they have flux densities of more than 1.5 T, whereas the conventional ferrites have saturation flux density values of about 0.3-0.5 T [4].…”

Section: Pcb Materials Polyamidementioning

confidence: 99%

“…Better performance is seen when the transformer operates closer to it its saturation magnetic flux density value of the core [3]. Stray magnetic flux lines developed in the gaps of the transformer core causes fringing losses in the PT [4]. Such undesired gaps in the core are significantly reduced due to the stacked arrangement of windings, PCB layers and insulators in a PT structure [5].…”

Section: Introductionmentioning

confidence: 99%

Investigation on Losses with Various Emerging Core and Winding Materials in a High Frequency Planar Transformer

Venugopal

Robert

2023

Period. Polytech. Elec. Eng. Comp. Sci.

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In this work, various emerging core and winding materials suitable for a high frequency planar transformer (PT) has been analyzed and compared. Core and winding materials used in a transformer has a significant effect mostly in the core and winding losses of the transformer. Emerging core materials like amorphous and nanocrystalline cores were compared against the conventional ferrite core. The results obtained showed that core losses were reduced by around 48.14% on using amorphous or nanocrystalline cores instead of the conventional ferrite cores. Typical copper and aluminum windings were also compared with emerging materials like carbon nanotube (CNT), Cu/CNT and Al/CNT. Winding losses was found to be the lowest on using CNT windings instead of metal windings like Cu or Al, or metals composite windings like Cu/CNT and Al/CNT. A winding loss reduction of about 56.2% was seen with CNT windings. Thus, it was concluded that the best possible core and winding combination was amorphous or nanocrystalline cores with CNT windings, as they give the lowest possible core and winding losses for the PT. Finite Element Analysis was carried out on a 2-kW PT operating at 100 kHz frequency, with the software Altair FLUX for the analysis.

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Power Losses Models for Magnetic Cores: A Review

Cited by 37 publications

References 143 publications

Why MagNet: Quantifying the Complexity of Modeling Power Magnetic Material Characteristics

Why MagNet: Quantifying the Complexity of Modeling Power Magnetic Material Characteristics

Why MagNet: Quantifying the Complexity of Modeling Power Magnetic Material Characteristics

Investigation on Losses with Various Emerging Core and Winding Materials in a High Frequency Planar Transformer

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