Broadband magnetic losses of nanocrystalline ribbons and powder cores

Beatrice, C.; Dobák, Samuel; Ferrara, E.; Fiorillo, F.; Ragusa, Carlo Stefano; Füzer, J.; Kollář, P.

doi:10.1016/j.jmmm.2016.07.045

Cited by 21 publications

(12 citation statements)

References 21 publications

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“…However, the quantitative assessment of the loss properties over the many-decade frequency range useful for applications reveals a complex task. To simplify the matter, quasi-linear DC constitutive equation is therefore assumed, so that the concept of complex permeability and related energy loss, according to (2), applies [24], [25], [26]. The shape of the actually measured DC hysteresis loops (Bp = 0.1 T), shown Fig.…”

Section: B Nanocrystalline Ribbon and Mn-zn Ferrite Broadband Analysismentioning

confidence: 99%

“…By introducing then the solution of the LL equation, expressed in terms of complex permeability, in the Maxwell's diffusion equation (11), we can eventually derive an analytical expression for the rotational classical loss Wrot(Bp, f). This approach is fully discussed in [25]. It leads to the loss decomposition procedure for sinusoidal induction, shown up to 100 MHz in Fig.…”

Section: B Nanocrystalline Ribbon and Mn-zn Ferrite Broadband Analysismentioning

confidence: 99%

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Energy Losses in Soft Magnetic Materials Under Symmetric and Asymmetric Induction Waveforms

Zhao

Ragusa

Appino

et al. 2019

IEEE Trans. Power Electron.

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Magnetic losses under triangular symmetric and asymmetric induction waveforms have been measured over a broad range of frequencies and predicted starting from standard results obtained with sinusoidal induction. Non-oriented Fe-Si and Fe-Co sheets, nanocrystalline Finemet-type ribbons, and Mn-Zn ferrites have been investigated up to f = 1 MHz and duty cycles ranging between 0.5 and 0.1. The intrinsic shortcomings of the popular approach to loss calculation of inductive components in power electronics, based on the empirical Steinmetz equation and its numerous modified versions, are overcome by generalized application of the Statistical Theory of Losses and the related concept of loss separation. While showing that this concept applies both to ferrites and metallic alloys and extracting the hysteresis (quasi-static), excess, and classical loss components, we relate in a simple way the magnetic energy losses under symmetric triangular induction (square wave voltage) and sinusoidal induction. The loss behavior under asymmetric triangular induction is retrieved from the symmetric one, by averaging the energy losses pertaining to the two different semi-periods. Good comparison with the experimentally measured energy loss versus frequency behavior is demonstrated in all materials.

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Section: B Nanocrystalline Ribbon and Mn-zn Ferrite Broadband Analysismentioning

confidence: 99%

Section: B Nanocrystalline Ribbon and Mn-zn Ferrite Broadband Analysismentioning

confidence: 99%

Energy Losses in Soft Magnetic Materials Under Symmetric and Asymmetric Induction Waveforms

Zhao

Ragusa

Appino

et al. 2019

IEEE Trans. Power Electron.

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“…By adopting the complex permeability µ = µʹ-jµʹʹ as magnetic constitutive equation, we get [11] W class (…”

Section: A Classical Loss Componentmentioning

confidence: 99%

Magnetic Loss Versus Frequency in Non-Oriented Steel Sheets and Its Prediction: Minor Loops, PWM, and the Limits of the Analytical Approach

et al. 2017

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The Pulse Width Modulation (PWM) technique is commonly used to supply modern high-speed electrical machines. The fundamental frequency is typically in the kilohertz range, with switching frequencies of several tens of kilohertz, as determined by the new SiC or GaAs based power transistors modules. Switching introduces minor loops in the major hysteresis cycle, with durations of the order of 100 µs or lower, with the resulting magnetization dynamics influenced by strong skin effect. However, since these minor loops have relatively small amplitude, their constitutive equation may be described by an equivalent permeability (real or complex), depending on the mean slope of the minor loop and its static energy loss. By retrieving this permeability, the classical loss is straightforwardly calculated by analytical solution of the Maxwell's equations. In this work, we measure and calculate, according to the quasi-linear approximation for the minor loops, the magnetic energy losses of 0.194 mm thick non-oriented Fe-Si 3.2% sheets subjected to PWM induction waveform. Minor loop peak amplitudes ranging between 50 mT and 0.2 T and frequencies up to 10 kHz are investigated. The results are consistent with the proposed model, to within 5%.

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“…Such an analysis can easily be implemented as a postprocessing operation to the main 2D FE model using standardly available dynamic solvers. Alternatively, when it is acceptable to assume linear material properties and adopt a constant permeability, closed-form analytical equations can be used to predict the flux re-distribution and eddy current losses [10,11]. However, this potentially leads to an overestimate of the skin effect due to the absence of saturation.…”

Section: Introductionmentioning

confidence: 99%

Iron Loss Modelling of Electrical Traction Motors for Improved Prediction of Higher Harmonic Losses

Rens

Vandenbossche²,

Dorez³

2020

WEVJ

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A Finite Element (FE) modelling approach is presented to account for the core losses in electrical machines that are generated by higher harmonic frequencies, for example those caused by Pulse Width Modulation (PWM) switching or by space harmonics due to the machine geometry. The model builds further on a post-processing calculation tool that was recently developed to take into account the magnetic skin effect in electrical steel laminations at high frequencies, and extends this by a more detailed loss analysis of the minor hysteresis loops that are caused by the higher harmonics. Further, these tools for high-frequency loss analysis are integrated into a complete electrical machine model with separate consideration of the major and minor loops. The modelling approach relies strongly on extensive magnetic measurement data of the electrical steel, in order to accurately predict the different loss components for minor hysteresis loops as a function of the DC bias field, frequency and amplitude of the minor loop. Results from the model are shown for an automotive traction motor, illustrating the losses caused by PWM harmonics and demonstrating the relevance of including the skin effect in these calculations.

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Broadband magnetic losses of nanocrystalline ribbons and powder cores

Cited by 21 publications

References 21 publications

Energy Losses in Soft Magnetic Materials Under Symmetric and Asymmetric Induction Waveforms

Energy Losses in Soft Magnetic Materials Under Symmetric and Asymmetric Induction Waveforms

Magnetic Loss Versus Frequency in Non-Oriented Steel Sheets and Its Prediction: Minor Loops, PWM, and the Limits of the Analytical Approach

Iron Loss Modelling of Electrical Traction Motors for Improved Prediction of Higher Harmonic Losses

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