Time-Domain Iron Loss Estimation Using the Parametric Magneto Dynamic Model: Discretisation Sensitivity and a Skin-Depth-Based Heuristic.

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Bibliographic Details
Title:	Time-Domain Iron Loss Estimation Using the Parametric Magneto Dynamic Model: Discretisation Sensitivity and a Skin-Depth-Based Heuristic.
Authors:	Hörmann, Timo¹ timo.hoermann@iem.rwth-aachen.de, Rahmanovic, Ermin² ermin.rahmanovic@um.si, Aurich, Danilo Gartner¹ danilo.aurich@iem.rwth-aachen.de, Petrun, Martin² martin.petrun@um.si, Steentjes, Simon¹ simon.steentjes@iem.rwth-aachen.de
Source:	Serbian Journal of Electrical Engineering. Jun2026, Vol. 23 Issue 2, p183-202. 20p.
Subjects:	Discretization methods, Magnetic hysteresis, Steel alloys, Magnetization, Time-domain analysis, Heuristic
Abstract:	This paper utilizes the Parametric Magneto-Dynamic (PMD) model, enhanced with an inverse hysteresis formulation, to estimate iron losses in the time domain under arbitrary excitation waveforms. The proposed PMD model reproduces the intricate magnetization dynamics of advanced steel grades, facilitating a systematic investigation into how metallurgical and geometric material properties - such as lamination thickness, alloy composition, and grain morphology - influence the required spatial and temporal discretisation for accurate loss estimation. The paper evaluates the consequences of discretisation parameters in the PMD model on both the accuracy of the iron loss prediction accuracy and computational overhead. The findings establish rigorous guidelines on the required discretisation schemes for purely sinusoidal excitation and for nonsinusoidal regimes with significant harmonic content across a broad frequency spectrum. [ABSTRACT FROM AUTHOR]
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Database:	Engineering Source

Description
Abstract:	This paper utilizes the Parametric Magneto-Dynamic (PMD) model, enhanced with an inverse hysteresis formulation, to estimate iron losses in the time domain under arbitrary excitation waveforms. The proposed PMD model reproduces the intricate magnetization dynamics of advanced steel grades, facilitating a systematic investigation into how metallurgical and geometric material properties - such as lamination thickness, alloy composition, and grain morphology - influence the required spatial and temporal discretisation for accurate loss estimation. The paper evaluates the consequences of discretisation parameters in the PMD model on both the accuracy of the iron loss prediction accuracy and computational overhead. The findings establish rigorous guidelines on the required discretisation schemes for purely sinusoidal excitation and for nonsinusoidal regimes with significant harmonic content across a broad frequency spectrum. [ABSTRACT FROM AUTHOR]
ISSN:	14514869
DOI:	10.2298/SJEE2602183H