Influences of iron loss coefficients estimation on the prediction of iron losses for variable speed motors

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Autoren

  • Jonathan Jürgens
  • Bernd Ponick
  • Oliver Winter
  • Antonio Fricasse

Externe Organisationen

  • AIT Austrian Institute of Technology GmbH
  • Fiat
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Details

OriginalspracheEnglisch
Titel des SammelwerksProceedings
Untertitel2015 IEEE International Electric Machines and Drives Conference, IEMDC 2015
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
Seiten1254-1259
Seitenumfang6
ISBN (elektronisch)9781479979417
PublikationsstatusVeröffentlicht - 16 Feb. 2016
VeranstaltungIEEE International Electric Machines and Drives Conference, IEMDC 2015 - Coeur d'Alene, USA / Vereinigte Staaten
Dauer: 11 Mai 201513 Mai 2015

Abstract

This paper addresses the influence of the estimation of hysteresis, eddy current and excess loss coefficients on the prediction of the overall iron losses in traction motors. Two standard iron loss models (according to Bertotti and Jordan) are presented and it is examined how the determination of the corresponding loss coefficients is effecting the iron loss calculation for variable speeds. It is shown that the accuracy of the iron loss calculation does not mainly depend on the number of iron loss terms in the model but rather depends on the computation of the corresponding coefficients. To reduce the uncertainty of the iron loss calculation, common curve fitting methods have to be used carefully. Provided that constant coefficients and exponents of the loss component terms are used, the resulting coefficients estimation by means of curve fitting methods depends on the considered frequency range of the measured losses given by the electrical steel manufacturer. Three different FEM analysis tools are used to compare the iron loss calculations for a simplified electrical machine model and a permanent magnet assisted synchronous reluctance machine (PMaSyRM) model.

ASJC Scopus Sachgebiete

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Influences of iron loss coefficients estimation on the prediction of iron losses for variable speed motors. / Jürgens, Jonathan; Ponick, Bernd; Winter, Oliver et al.
Proceedings: 2015 IEEE International Electric Machines and Drives Conference, IEMDC 2015. Institute of Electrical and Electronics Engineers Inc., 2016. S. 1254-1259 7409222.

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Jürgens, J, Ponick, B, Winter, O & Fricasse, A 2016, Influences of iron loss coefficients estimation on the prediction of iron losses for variable speed motors. in Proceedings: 2015 IEEE International Electric Machines and Drives Conference, IEMDC 2015., 7409222, Institute of Electrical and Electronics Engineers Inc., S. 1254-1259, IEEE International Electric Machines and Drives Conference, IEMDC 2015, Coeur d'Alene, USA / Vereinigte Staaten, 11 Mai 2015. https://doi.org/10.1109/iemdc.2015.7409222
Jürgens, J., Ponick, B., Winter, O., & Fricasse, A. (2016). Influences of iron loss coefficients estimation on the prediction of iron losses for variable speed motors. In Proceedings: 2015 IEEE International Electric Machines and Drives Conference, IEMDC 2015 (S. 1254-1259). Artikel 7409222 Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/iemdc.2015.7409222
Jürgens J, Ponick B, Winter O, Fricasse A. Influences of iron loss coefficients estimation on the prediction of iron losses for variable speed motors. in Proceedings: 2015 IEEE International Electric Machines and Drives Conference, IEMDC 2015. Institute of Electrical and Electronics Engineers Inc. 2016. S. 1254-1259. 7409222 doi: 10.1109/iemdc.2015.7409222
Jürgens, Jonathan ; Ponick, Bernd ; Winter, Oliver et al. / Influences of iron loss coefficients estimation on the prediction of iron losses for variable speed motors. Proceedings: 2015 IEEE International Electric Machines and Drives Conference, IEMDC 2015. Institute of Electrical and Electronics Engineers Inc., 2016. S. 1254-1259
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title = "Influences of iron loss coefficients estimation on the prediction of iron losses for variable speed motors",
abstract = "This paper addresses the influence of the estimation of hysteresis, eddy current and excess loss coefficients on the prediction of the overall iron losses in traction motors. Two standard iron loss models (according to Bertotti and Jordan) are presented and it is examined how the determination of the corresponding loss coefficients is effecting the iron loss calculation for variable speeds. It is shown that the accuracy of the iron loss calculation does not mainly depend on the number of iron loss terms in the model but rather depends on the computation of the corresponding coefficients. To reduce the uncertainty of the iron loss calculation, common curve fitting methods have to be used carefully. Provided that constant coefficients and exponents of the loss component terms are used, the resulting coefficients estimation by means of curve fitting methods depends on the considered frequency range of the measured losses given by the electrical steel manufacturer. Three different FEM analysis tools are used to compare the iron loss calculations for a simplified electrical machine model and a permanent magnet assisted synchronous reluctance machine (PMaSyRM) model.",
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AU - Jürgens, Jonathan

AU - Ponick, Bernd

AU - Winter, Oliver

AU - Fricasse, Antonio

N1 - Publisher Copyright: © 2015 IEEE. Copyright: Copyright 2016 Elsevier B.V., All rights reserved.

PY - 2016/2/16

Y1 - 2016/2/16

N2 - This paper addresses the influence of the estimation of hysteresis, eddy current and excess loss coefficients on the prediction of the overall iron losses in traction motors. Two standard iron loss models (according to Bertotti and Jordan) are presented and it is examined how the determination of the corresponding loss coefficients is effecting the iron loss calculation for variable speeds. It is shown that the accuracy of the iron loss calculation does not mainly depend on the number of iron loss terms in the model but rather depends on the computation of the corresponding coefficients. To reduce the uncertainty of the iron loss calculation, common curve fitting methods have to be used carefully. Provided that constant coefficients and exponents of the loss component terms are used, the resulting coefficients estimation by means of curve fitting methods depends on the considered frequency range of the measured losses given by the electrical steel manufacturer. Three different FEM analysis tools are used to compare the iron loss calculations for a simplified electrical machine model and a permanent magnet assisted synchronous reluctance machine (PMaSyRM) model.

AB - This paper addresses the influence of the estimation of hysteresis, eddy current and excess loss coefficients on the prediction of the overall iron losses in traction motors. Two standard iron loss models (according to Bertotti and Jordan) are presented and it is examined how the determination of the corresponding loss coefficients is effecting the iron loss calculation for variable speeds. It is shown that the accuracy of the iron loss calculation does not mainly depend on the number of iron loss terms in the model but rather depends on the computation of the corresponding coefficients. To reduce the uncertainty of the iron loss calculation, common curve fitting methods have to be used carefully. Provided that constant coefficients and exponents of the loss component terms are used, the resulting coefficients estimation by means of curve fitting methods depends on the considered frequency range of the measured losses given by the electrical steel manufacturer. Three different FEM analysis tools are used to compare the iron loss calculations for a simplified electrical machine model and a permanent magnet assisted synchronous reluctance machine (PMaSyRM) model.

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