Abstract

This paper presents a thorough introduction to and application of the Parametric Magneto-Dynamic (PMD) model of soft magnetic steel sheets. The theoretical background is reviewed, and two different ways are discussed to account for the viscosity-like effects originating from microscopic eddy currents. This is followed by the theoretical calculation of magnetization dynamics and dynamic hysteresis loops in Non-Oriented (NO) electrical steel. Both classical and viscosity-extended approaches are discussed, with respect to the ability of replicating the dynamic hysteresis loop shape and iron-loss under sinusoidal excitation waveforms up to high excitation frequencies. Comparisons against measurements are analyzed for M400-50A and M235-35A NO electrical steel over a wide range of magnetic flux density and excitation frequencies. The proven accuracy and efficiency of the PMD model make it a valuable tool for the calculation of iron losses in electrical machines and transformers, as well as for an in-depth study of magnetization dynamics in individual laminations.

Highlights

  • Accurate determination of the iron-loss in the magnetic cores of electrical machines and transformers is of great importance, to allow one to reduce the iron-loss by appropriate design measures in the magnetic circuit, and by the choice of suitable materials [1]–[8]

  • The aim of this work is to present a thorough introduction to the physical background, adequate modeling approaches and their application when analyzing power-loss and magnetization dynamics in NO electrical steels that are subjected to one-dimensional (1-D), i.e., pulsating magnetization

  • The first grade is on the thicker side of the production range and has lower silicon content, which resulted in higher classical eddy current losses

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Summary

Introduction

Accurate determination of the iron-loss in the magnetic cores of electrical machines and transformers is of great importance, to allow one to reduce the iron-loss by appropriate design measures in the magnetic circuit, and by the choice of suitable materials [1]–[8]. The multifarious and intricate physical mechanisms in different magnetic materials, combined with complex flux waveforms in electrical machines, hamper the development of appropriate methods for predicting the iron-loss and the magnetic field distribution [6], [9]–[12]. This is exacerbated by the fact that material data, i.e., iron-loss and magnetization curves, supplied by the data sheet or acquired through standardized measurements under sinusoidal magnetic flux density waveform, do not apply for the magnetic components of inverter-driven electrical energy converters and rotating electrical machines. A large quantity of different models and methods, combined with poor knowledge of their limitations, often lead to misuse of these models and inadequate results

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