Advanced Iron-Loss Estimation for Nonlinear Material Behavior
The aim of an optimal design of electrical machines requires the accurate prediction of iron losses for various operating points. For this purpose different iron-loss models have been proposed which intent to describe the loss inducing effects. The most used iron-loss prediction formulas are either...
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Veröffentlicht in: | IEEE transactions on magnetics 2012-11, Vol.48 (11), p.3021-3024 |
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description | The aim of an optimal design of electrical machines requires the accurate prediction of iron losses for various operating points. For this purpose different iron-loss models have been proposed which intent to describe the loss inducing effects. The most used iron-loss prediction formulas are either physically based, but nevertheless only valid for linear material behavior at low frequencies and low magnetic flux densities, or grounded on a pure mathematical description of the material behavior, that is not more than interpolated measurements. This paper presents a modified loss equation with semi-physically based parameters as well as a first try to explain the nonlinear loss component. |
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For this purpose different iron-loss models have been proposed which intent to describe the loss inducing effects. The most used iron-loss prediction formulas are either physically based, but nevertheless only valid for linear material behavior at low frequencies and low magnetic flux densities, or grounded on a pure mathematical description of the material behavior, that is not more than interpolated measurements. This paper presents a modified loss equation with semi-physically based parameters as well as a first try to explain the nonlinear loss component.</description><identifier>ISSN: 0018-9464</identifier><identifier>EISSN: 1941-0069</identifier><identifier>DOI: 10.1109/TMAG.2012.2208944</identifier><identifier>CODEN: IEMGAQ</identifier><language>eng</language><publisher>New York, NY: IEEE</publisher><subject>Cross-disciplinary physics: materials science; rheology ; Estimation ; Exact sciences and technology ; Frequency measurement ; High frequency iron losses ; Loss measurement ; Magnetic hysteresis ; magnetic losses ; Magnetism ; Materials science ; measurement loss prediction ; nonlinear material behavior ; Other topics in materials science ; Physics ; Saturation magnetization ; Soft magnetic materials</subject><ispartof>IEEE transactions on magnetics, 2012-11, Vol.48 (11), p.3021-3024</ispartof><rights>2014 INIST-CNRS</rights><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. 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For this purpose different iron-loss models have been proposed which intent to describe the loss inducing effects. The most used iron-loss prediction formulas are either physically based, but nevertheless only valid for linear material behavior at low frequencies and low magnetic flux densities, or grounded on a pure mathematical description of the material behavior, that is not more than interpolated measurements. This paper presents a modified loss equation with semi-physically based parameters as well as a first try to explain the nonlinear loss component.</description><subject>Cross-disciplinary physics: materials science; rheology</subject><subject>Estimation</subject><subject>Exact sciences and technology</subject><subject>Frequency measurement</subject><subject>High frequency iron losses</subject><subject>Loss measurement</subject><subject>Magnetic hysteresis</subject><subject>magnetic losses</subject><subject>Magnetism</subject><subject>Materials science</subject><subject>measurement loss prediction</subject><subject>nonlinear material behavior</subject><subject>Other topics in materials science</subject><subject>Physics</subject><subject>Saturation magnetization</subject><subject>Soft magnetic materials</subject><issn>0018-9464</issn><issn>1941-0069</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kE9LAzEQxYMoWKsfQLwsiMddM_m3m4OHWmottHqp55DsJrhl3dRkW_Dbm9LS0zDMezPzfgjdAy4AsHxerybzgmAgBSG4koxdoBFIBjnGQl6iEcZQ5ZIJdo1uYtyklnHAI_Qyafa6r22TLYLv86WPMZvFof3RQ-v7zPmQffi-a3urQ7bSgw2t7rJX-633rQ-36MrpLtq7Ux2jr7fZevqeLz_ni-lkmdeMlkPuysrJhvNaEoOFMJIaTJhJ70qgmApXGw2guRS8BmJKxgwYh6V0WpOGAh2jx-PebfC_OxsHtfG70KeTCgBoJZKTJxUcVXVIMYJ1ahtSkPCnAKsDJXWgpA6U1IlS8jydNutY686FBKONZyMRouJUiKR7OOpaa-15LCgloirpP8yEbk8</recordid><startdate>20121101</startdate><enddate>20121101</enddate><creator>Eggers, Daniel</creator><creator>Steentjes, Simon</creator><creator>Hameyer, Kay</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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subjects | Cross-disciplinary physics: materials science rheology Estimation Exact sciences and technology Frequency measurement High frequency iron losses Loss measurement Magnetic hysteresis magnetic losses Magnetism Materials science measurement loss prediction nonlinear material behavior Other topics in materials science Physics Saturation magnetization Soft magnetic materials |
title | Advanced Iron-Loss Estimation for Nonlinear Material Behavior |
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