A new dynamic hysteresis model for electrical steel sheet

Chevalier, Thierry; Kedous‐Lebouc, Afef; Cornut, B.; Cester, C.

doi:10.1016/s0921-4526(99)00768-1

Cited by 46 publications

(32 citation statements)

References 5 publications

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“…In the same way, in Grenoble, the method investigated during the last decade is the so-called Loss Surface (LS) [17][18][19]. Nowadays, the iron loss prediction using the LS dynamic model of hysteresis is implemented in the FE Flux TM software of CEDRAT S.A. society (recently acquired by the american society ALTAIR) as a post-processing module for a number of common non-oriented electrical steels.…”

Section: Contextmentioning

confidence: 99%

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Iron Losses in Electromagnetic Devices: Nonlinear Adaptive MEC & Dynamic Hysteresis Model

Messal¹,

Benlamine³

et al. 2017

Preprint

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Abstract:In this paper, an original approach allowing the determination of the iron losses in the electromagnetic devices is presented. This new approach exploits the Loss Surface (LS) hysteresis model and the magnetic flux density waveforms resulting from a generalized nonlinear adaptive magnetic equivalent circuit (MEC) using a mesh-based formulation in two-dimensional (2-D) or quasi three-dimensional (3-D). The model coupling has been applied to a 18-slots/16-poles radial-flux interior permanent-magnet (PM) synchronous machine (PMSM) dedicated to automotive applications, mainly for electric/hybrid/fuel cell vehicles (EVs/HEVs/FCVs). The obtained results have been compared with those made retrospectively in the 2-D transient finite-element (FE) Flux TM . The influence of the MEC discretization on the iron loss calculation and the electromagnetic performances has been analyzed. The computation time is divided by 3/2 with an error less than 7 %.

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Section: Contextmentioning

confidence: 99%

“…The LS model [17][18][19] is a scalar dynamic hysteresis model. It is an H(B) model relating the applied excitation field H to the average magnetic flux density B in the cross section of the material.…”

Section: Descriptionmentioning

confidence: 99%

Iron Losses in Electromagnetic Devices: Nonlinear Adaptive MEC & Dynamic Hysteresis Model

Messal¹,

Benlamine³

et al. 2017

Preprint

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“…We can conclude that iron loss density is not only influenced by the maximum value of B but also by the harmonic content of waveform. The influence of the magnetic flux density B harmonic content on iron loss density can also be observed with scalar dynamic hysteresis models such as Loss Surface (LS) model [8] (3). Model depends on determining magnetic field strength H from past time invariant changes of magnetic flux density (B n , B n−1 , .…”

Section: Iron Loss Modelsmentioning

confidence: 99%

Analysis and identification of influential phenomena on iron losses in embedded permanent magnet synchronous machine

Breznik¹,

Goričan²,

Hamler³

et al. 2017

Journal of Electrical Engineering

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This paper presents magnetic flux density behaviour in laminated electrical sheets which affects the results and precision of iron losses calculation in imbedded permanent magnet (IPM) machine. Objective of the research was to analyse all the influential phenomena that were identified through iron loss models analysis, finite element method simulations and iron loss measurements. The presence of phenomena such as harmonic content and rotational magnetic fields are confirmed with finite element method analysis of concentrated and distributed winding IPM machine. A significant magnetic flux density ripple in the rotor of concentrated winding IPM machine in comparison to distributed winding IPM machine is revealed and analysed. Behaviour that affects iron loss in the rotor of synchronous machines in the absence of first order harmonic is analysed. The DC level added to alternating magnetic flux density was used in experiment to mimic magnetic behaviour on the rotor of IPM machine and further to calculate iron losses. K e y w o r d s: iron losses, permanent magnet synchronous machine, rotational magnetic flux density, Bertotti model, loss surface model

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“…The dynamic hysteresis model presented in Ref. [2] can be used for this task. In this model, the magnetic field H is decomposed into a static and a dynamic part, H ¼ H stat þ H dyn : The dynamic behaviour is represented by the function H dyn (B, dB=dt) obtained during experimental dynamic characterization of the material for all relevant values of B and dB=dt.…”

Section: Introductionmentioning

confidence: 99%

“…In this model, the magnetic field H is decomposed into a static and a dynamic part, H ¼ H stat þ H dyn : The dynamic behaviour is represented by the function H dyn (B, dB=dt) obtained during experimental dynamic characterization of the material for all relevant values of B and dB=dt. The model presented in [2] is global which means that it takes all dynamic effects into account and is valid for any induction waveform. All magnetic measurements are executed with a miniature single sheet tester.…”

Section: Introductionmentioning

confidence: 99%

Mechanical stress evaluation of steel utilizing its magnetic properties: an inverse problem approach

Vandenbossche

Dupré

Wulf

et al. 2004

Journal of Magnetism and Magnetic Materials

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A new dynamic hysteresis model for electrical steel sheet

Cited by 46 publications

References 5 publications

Iron Losses in Electromagnetic Devices: Nonlinear Adaptive MEC & Dynamic Hysteresis Model

Iron Losses in Electromagnetic Devices: Nonlinear Adaptive MEC & Dynamic Hysteresis Model

Analysis and identification of influential phenomena on iron losses in embedded permanent magnet synchronous machine

Mechanical stress evaluation of steel utilizing its magnetic properties: an inverse problem approach

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A new dynamic hysteresis model for electrical steel sheet

Cited by 46 publications

References 5 publications

Iron Losses in Electromagnetic Devices: Nonlinear Adaptive MEC &amp; Dynamic Hysteresis Model

Iron Losses in Electromagnetic Devices: Nonlinear Adaptive MEC &amp; Dynamic Hysteresis Model

Analysis and identification of influential phenomena on iron losses in embedded permanent magnet synchronous machine

Mechanical stress evaluation of steel utilizing its magnetic properties: an inverse problem approach

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Iron Losses in Electromagnetic Devices: Nonlinear Adaptive MEC & Dynamic Hysteresis Model

Iron Losses in Electromagnetic Devices: Nonlinear Adaptive MEC & Dynamic Hysteresis Model