Macromagnetic Approach to the Modeling in Time Domain of Magnetic Losses of Ring Cores of Soft Ferrites in Power Electronics

Rimal, Hari Prasad; Stornelli, Giulia; Faba, A.; Cardelli, Ermanno

doi:10.1109/tpel.2022.3223184

Cited by 8 publications

(3 citation statements)

References 38 publications

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“…For instance, in toroids, the field is stronger in the inner radius than in the outer radius of the core. An analytical model for eddy currents accounting for field distribution can be found in [17], based on ferrite grain and grain boundary properties [18], [69], [70]. In addition, ferrites properties are not homogeneous for large cores because of firing/sintering processes [44], [50], [52].…”

Section: H Core Size Impactmentioning

confidence: 99%

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

Serrano

Wang

et al. 2023

IEEE Trans. Power Electron.

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This paper motivates the development of sophisticated data-driven models for power magnetic material characteristics. Core losses and hysteresis loops are critical information in the design process of power magnetics, yet the physics behind them is not fully understood or directly applicable. Both losses and hysteresis loops change for each magnetic material and depend heavily on electrical operating conditions (e.g., waveform, frequency, amplitude, dc bias), mechanical properties (e.g., pressure, vibration), temperature, and geometry of the magnetic components, and in a nonlinear and coupled fashion. Understanding the complex and intertwined relationship these factors have on core loss 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 datadriven methods.

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Section: H Core Size Impactmentioning

confidence: 99%

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

Serrano

Wang

et al. 2023

IEEE Trans. Power Electron.

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“…These materials exhibit useful magnetic properties suitable for various high-frequency applications (e.g., transformer cores, inductive toroidal cores in antennae, and different microwave components) due to their high resistivity and low magnetic saturation. Despite the benefits, their processability can be challenging due to their fragility, difficulty in achieving complex shapes, dimensional tolerances, and limitations in size and density [ 132 , 133 ]. However, advancements in additive manufacturing have opened possibilities for their easy processing and subsequent use in electric machines.…”

Section: Soft Ferritesmentioning

confidence: 99%

Recent Advances in Additive Manufacturing of Soft Magnetic Materials: A Review

Vargas

Stornelli

Folgarait³

et al. 2023

Materials

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Additive manufacturing (AM) is an attractive set of processes that are being employed lately to process specific materials used in the fabrication of electrical machine components. This is because AM allows for the preservation or enhancement of their magnetic properties, which may be degraded or limited when manufactured using other traditional processes. Soft magnetic materials (SMMs), such as Fe–Si, Fe–Ni, Fe–Co, and soft magnetic composites (SMCs), are suitable materials for electrical machine additive manufacturing components due to their magnetic, thermal, mechanical, and electrical properties. In addition to these, it has been observed in the literature that other alloys, such as soft ferrites, are difficult to process due to their low magnetization and brittleness. However, thanks to additive manufacturing, it is possible to leverage their high electrical resistivity to make them alternative candidates for applications in electrical machine components. It is important to highlight the significant progress in the field of materials science, which has enabled the development of novel materials such as high-entropy alloys (HEAs). These alloys, due to their complex chemical composition, can exhibit soft magnetic properties. The aim of the present work is to provide a critical review of the state-of-the-art SMMs manufactured through different AM technologies. This review covers the influence of these technologies on microstructural changes, mechanical strengths, post-processing, and magnetic parameters such as saturation magnetization (MS), coercivity (HC), remanence (Br), relative permeability (Mr), electrical resistivity (r), and thermal conductivity (k).

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“…The common practice is the two-winding method, which requires winding an additional winding on the core of the tested power inductor [8], [10], [19]- [24]. The additional winding allows the measurement of the induced electromotive force (EMF) and, consequently, the determination of the power dissipated in the core.…”

Section: Introductionmentioning

confidence: 99%

Time Domain Analysis for Measuring Core Losses in Inductive Elements for Power Electronics: An Investigation Study

Chojowski,

Baszyński,

Dziadecki

et al. 2023

IEEE Access

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The article proposes a method to measure core losses in magnetic elements for mediumfrequency power electronics circuits working in conditions close to those in many real industrial circuits: supplied with square-wave voltage and working in linear magnetic region. The article presents analytical considerations regarding the proposed method. The proposed method allows determining core losses in power inductor with only voltage and current measurement -no additional EMF-measuring winding is needed. The method is based on the inductor model, which allows determining losses in the core, while at the same time enables obtaining a time-domain response consistent with rectangular voltage excitation measurements. The method was tested using the real industrial inductor with a copper litz winding and low-loss core (e.g. nanocrystalline core) at various operating points.INDEX TERMS Inductor losses estimation, inductor losses analysis, core losses

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Macromagnetic Approach to the Modeling in Time Domain of Magnetic Losses of Ring Cores of Soft Ferrites in Power Electronics

Cited by 8 publications

References 38 publications

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

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

Recent Advances in Additive Manufacturing of Soft Magnetic Materials: A Review

Time Domain Analysis for Measuring Core Losses in Inductive Elements for Power Electronics: An Investigation Study

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