Advanced Soft- and Hard-Magnetic Material Models for the Numerical Simulation of Electrical Machines

Leuning, Nora; Elfgen, Silas; Groschup, Benedikt; Bavendiek, Gregor; Steentjes, Simon; Hameyer, Kay

doi:10.1109/tmag.2018.2865096

Cited by 31 publications

(14 citation statements)

References 35 publications

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“…where, at the center of the sheets, no electric field is induced, i.e., E y (x = 0, t) = 0. Finally, Neumanns' BCs are obtained by combining (10) and (11) with (6) and (2). The BC at the lower surface of the sheet is defined by…”

Section: ) Neumann Boundary Conditionsmentioning

confidence: 99%

“…The so-called Parametric Magneto-Dynamic (PMD) model of NO steel sheets is obtained using this method [48], [50], [84]. The presented method is based on (5) and (6), and gives a clear understanding of the underlying physical phenomena of non-linear diffusion of the electromagnetic field inside the discussed NO steel sheets. Because all the electromagnetic variables depend on time t, this dependence is, for the sake of clarity in the following equations, not displayed explicitly anymore.…”

Section: Parametric Magneto-dynamic Modelmentioning

confidence: 99%

“…The feedback influence of the induced electric field on the magnetic field can be obtained by the application of Ampere's Law (6) to the eddy-current distribution (24), where proper Dirichlet's BCs (8) are taken into account. Because the presented modeling approach is based on taking into account half of the sheet, only the Dirichlet BC at the surface is defined.…”

Section: B Feedback Influence Of the Induced Electric Field On The Mmentioning

confidence: 99%

“…Accurate determination of the iron-loss in the magnetic cores of electrical machines and transformers is of great importance, specifically 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]. However, 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.…”

Section: Introductionmentioning

confidence: 99%

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Iron-Loss and Magnetization Dynamics in Non-Oriented Electrical Steel: 1-D Excitations Up to High Frequencies

Petrun

Steentjes²

2020

IEEE Access

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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.

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Section: ) Neumann Boundary Conditionsmentioning

confidence: 99%

Section: Parametric Magneto-dynamic Modelmentioning

confidence: 99%

Section: B Feedback Influence Of the Induced Electric Field On The Mmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Iron-Loss and Magnetization Dynamics in Non-Oriented Electrical Steel: 1-D Excitations Up to High Frequencies

Petrun

Steentjes²

2020

IEEE Access

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“…Due to numerical requirements, the slope of the graph has to be positive (9), in order to enable a distinct attribution of ν to B, i.e. unambiguous ∂ν ∂B 2 > 0.…”

Section: Reluctivitymentioning

confidence: 99%

Complete and accurate modular numerical computation scheme for multi‐coupled electric drive systems

Nell

Leuning

Mönninghoff

et al. 2020

IET Science, Measurement & Technology

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Loss parameter identification of a welded ring core lamination of NO‐electrical steel

Ukwungwu,

Hameyer

2024

Int J Numerical Modelling

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Lamination packaging processes such as welding lead to a significant material degradation of non‐oriented (NO) electrical steel sheets. Increase in iron loss and decrease in permeability are the results of the deterioration. For an efficient modeling of a drive train, the accurate parameterization of the iron loss is of upmost importance. For this reason, the iron loss model is expanded to include the influences of welding procedure. Its influence can be classified into changes in the grain size diameter and residual stresses . In this study, a locally varying iron loss model for the simulation of effects of weld‐packaging on the electromagnetic properties of non‐oriented (NO) electrical steel sheets is presented. Packaging technologies such as interlocking, welding, clinching and gluing are typically utilized for the manufacturing of electric steel stacks of electric machines. Understanding the micro‐structural changes due to the macro‐structural degradation accruing to weld‐packaging helps in the accurate understanding of its influence on the performance and achievable range of the electric vehicle. Five (5) electric steel probes are annealed for the modeling of the local varying iron loss model at five different temperatures and electromagnetically measured to determine its magnetization and loss values. This will help in determining the grain size dependency of the different loss parameters. The annealed probes are measured under mechanical stresses showing also the residual stress dependency.

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Advanced Soft- and Hard-Magnetic Material Models for the Numerical Simulation of Electrical Machines

Cited by 31 publications

References 35 publications

Iron-Loss and Magnetization Dynamics in Non-Oriented Electrical Steel: 1-D Excitations Up to High Frequencies

Iron-Loss and Magnetization Dynamics in Non-Oriented Electrical Steel: 1-D Excitations Up to High Frequencies

Complete and accurate modular numerical computation scheme for multi‐coupled electric drive systems

Loss parameter identification of a welded ring core lamination of NO‐electrical steel

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