2015
DOI: 10.1109/tmag.2014.2338836
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Comparison of Iron Loss Models for Electrical Machines With Different Frequency Domain and Time Domain Methods for Excess Loss Prediction

Abstract: The goal of this paper is to investigate the accuracy of modeling the excess loss in electrical steels using a time domain model with Bertotti's loss model parameters n 0 and V 0 fitted in the frequency domain. Three variants of iron loss models based on Bertotti's theory are compared for the prediction of iron losses under sinusoidal and non-sinusoidal flux conditions. The non-sinusoidal waveforms are based on the realistic time variation of the magnetic induction in the stator core of an electrical machine, … Show more

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Cited by 79 publications
(43 citation statements)
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“…H hy is the average hysteresis field for a sinusoidal induction and B p is the peak induction [9]. Assuming uniform penetration of magnetic flux, the classical eddy current power loss component P ed can be determined analytically as a function of the peak induction B p and the frequency that includes the material conductivity λ and the thickness d of the lamination [11]:…”
Section: Methodology a Statistical Loss Theory And Loss Segregationmentioning
confidence: 99%
See 1 more Smart Citation
“…H hy is the average hysteresis field for a sinusoidal induction and B p is the peak induction [9]. Assuming uniform penetration of magnetic flux, the classical eddy current power loss component P ed can be determined analytically as a function of the peak induction B p and the frequency that includes the material conductivity λ and the thickness d of the lamination [11]:…”
Section: Methodology a Statistical Loss Theory And Loss Segregationmentioning
confidence: 99%
“…where G = 0.1356 is a model constant [11]. In [9], [10], and [12] a linear correlation between n and H ex , was obtained from measurements for non-oriented electrical sheets and grain oriented sheets with respect to the rolling direction.…”
Section: B Excess Loss Modelsmentioning
confidence: 99%
“…The STL, with its simple analytical formulations for W exc (f) and W cl (f), has found general application in the literature, encompassing different materials (non-oriented and grain-oriented steel sheets, amorphous and nanocrystalline alloys, Fe-Co alloys, etc.) and different excitation regimes [Amar 1995, Atallah 1994, Barbisio 2004, Kowal 2015. It takes at face value the stochastic nature of the domain wall processes, which are assumed to occur, on the average, homogeneously across the sheet crosssection.…”
Section: Introductionmentioning
confidence: 99%
“…. It has however been pointed out in recent times [Zirka 2010, Zirka 2015] that the use of (1) would not be a good approximation for W cl (f) in actual materials excited at technical B p values, that is, with the magnetization regimes most frequently encountered in applications, because the condition of homogeneous magnetization reversal would not be generally fulfilled. The discrepancy between the actual evolution of the magnetization process and the one assumed by introducing (1) in the loss decomposition by the STL would be especially acute at high inductions, where the material constitutive equation is highly nonlinear, with the quasi-static hysteresis loop in non-oriented (NO) steel sheets taking a near-rectangular shape.…”
Section: Introductionmentioning
confidence: 99%
“…This core loss is a main contributing factor that decreases the power density [1,2]. Currently, core loss under the pulse width modulation control has been studied extensively [3][4][5], but relatively little has been discussed regarding core loss under SVPWM excitation. In particular, different control systems play different roles in core loss [6].…”
Section: Introductionmentioning
confidence: 99%