Details
Original language | English |
---|---|
Title of host publication | Proceedings |
Subtitle of host publication | 2015 IEEE International Electric Machines and Drives Conference, IEMDC 2015 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 1254-1259 |
Number of pages | 6 |
ISBN (electronic) | 9781479979417 |
Publication status | Published - 16 Feb 2016 |
Event | IEEE International Electric Machines and Drives Conference, IEMDC 2015 - Coeur d'Alene, United States Duration: 11 May 2015 → 13 May 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.
Keywords
- Bertotti equation, curve fitting, eddy current, excess losses, hysteresis, iron losses, Jordan equation, least square method, loss coefficient
ASJC Scopus subject areas
- Engineering(all)
- Electrical and Electronic Engineering
- Engineering(all)
- Mechanical Engineering
- Engineering(all)
- Automotive Engineering
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Proceedings: 2015 IEEE International Electric Machines and Drives Conference, IEMDC 2015. Institute of Electrical and Electronics Engineers Inc., 2016. p. 1254-1259 7409222.
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Influences of iron loss coefficients estimation on the prediction of iron losses for variable speed motors
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.
KW - Bertotti equation
KW - curve fitting
KW - eddy current
KW - excess losses
KW - hysteresis
KW - iron losses
KW - Jordan equation
KW - least square method
KW - loss coefficient
UR - http://www.scopus.com/inward/record.url?scp=84965108354&partnerID=8YFLogxK
U2 - 10.1109/iemdc.2015.7409222
DO - 10.1109/iemdc.2015.7409222
M3 - Conference contribution
AN - SCOPUS:84965108354
SP - 1254
EP - 1259
BT - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - IEEE International Electric Machines and Drives Conference, IEMDC 2015
Y2 - 11 May 2015 through 13 May 2015
ER -