Overload Performance Prediction of PM and Synchronous Reluctance Machines for Traction Applications

Matteo Carbonieri; Wen L. Soong; Amin Mahmoudi; Solmaz Kahourzade; Nicola Bianchi

doi:10.1109/ECCE44975.2020.9235921

Overload Performance Prediction of PM and Synchronous Reluctance Machines for Traction Applications

Matteo Carbonieri, Wen L. Soong, Amin Mahmoudi, Solmaz Kahourzade, Nicola Bianchi

College of Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (Scopus)

Abstract

This paper proposes several methods to compare the overload performance of different types of synchronous machines for electric traction applications. An ideal model to predict the performance of the motor at high overload condition is introduced. In the simplified analytical saturation model, the saturation flux linkage is a parameter. This allows the performance prediction as a function of three normalized parameters: magnet flux linkage, unsaturated inductance and saliency ratio.The other main part of the work concerns the machines analysis using the finite element approach. Models with different levels of accuracy and generality show the possibility of reducing the number of simulations in the d- and q-axis currents plane to obtain the full performance prediction. Machines with different level of cross saturation are considered to test the proposed models.Simulation results of the studied approaches are compared with the prediction obtained from the full machine mapping using finite element analysis, in which a large number of evenly spaced points in the (id,iq) plane are analyzed to derive the working characteristics.

Original language	English
Title of host publication	ECCE 2020 - IEEE Energy Conversion Congress and Exposition
Publisher	Institute of Electrical and Electronics Engineers
Pages	728-735
Number of pages	8
ISBN (Electronic)	9781728158266, 9781728158273
DOIs	https://doi.org/10.1109/ECCE44975.2020.9235921
Publication status	Published - 11 Oct 2020
Event	12th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2020 - Virtual, Detroit, United States Duration: 11 Oct 2020 → 15 Oct 2020 Conference number: 12

Publication series

Name	ECCE 2020 - IEEE Energy Conversion Congress and Exposition

Conference

Conference	12th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2020
Country/Territory	United States
City	Virtual, Detroit
Period	11/10/20 → 15/10/20

Keywords

synchronous machines
electric traction
traction applications
machine performance
overload performance

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10.1109/ECCE44975.2020.9235921Licence: In Copyright

Cite this

Carbonieri, M., Soong, W. L., Mahmoudi, A., Kahourzade, S., & Bianchi, N. (2020). Overload Performance Prediction of PM and Synchronous Reluctance Machines for Traction Applications. In ECCE 2020 - IEEE Energy Conversion Congress and Exposition (pp. 728-735). Article 9235921 (ECCE 2020 - IEEE Energy Conversion Congress and Exposition). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ECCE44975.2020.9235921

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title = "Overload Performance Prediction of PM and Synchronous Reluctance Machines for Traction Applications",

abstract = "This paper proposes several methods to compare the overload performance of different types of synchronous machines for electric traction applications. An ideal model to predict the performance of the motor at high overload condition is introduced. In the simplified analytical saturation model, the saturation flux linkage is a parameter. This allows the performance prediction as a function of three normalized parameters: magnet flux linkage, unsaturated inductance and saliency ratio.The other main part of the work concerns the machines analysis using the finite element approach. Models with different levels of accuracy and generality show the possibility of reducing the number of simulations in the d- and q-axis currents plane to obtain the full performance prediction. Machines with different level of cross saturation are considered to test the proposed models.Simulation results of the studied approaches are compared with the prediction obtained from the full machine mapping using finite element analysis, in which a large number of evenly spaced points in the (id,iq) plane are analyzed to derive the working characteristics.",

keywords = "synchronous machines, electric traction, traction applications, machine performance, overload performance",

author = "Matteo Carbonieri and Soong, {Wen L.} and Amin Mahmoudi and Solmaz Kahourzade and Nicola Bianchi",

year = "2020",

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note = "12th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2020 ; Conference date: 11-10-2020 Through 15-10-2020",

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Carbonieri, M, Soong, WL, Mahmoudi, A, Kahourzade, S & Bianchi, N 2020, Overload Performance Prediction of PM and Synchronous Reluctance Machines for Traction Applications. in ECCE 2020 - IEEE Energy Conversion Congress and Exposition., 9235921, ECCE 2020 - IEEE Energy Conversion Congress and Exposition, Institute of Electrical and Electronics Engineers, pp. 728-735, 12th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2020, Virtual, Detroit, Michigan, United States, 11/10/20. https://doi.org/10.1109/ECCE44975.2020.9235921

Overload Performance Prediction of PM and Synchronous Reluctance Machines for Traction Applications. / Carbonieri, Matteo; Soong, Wen L.; Mahmoudi, Amin et al.
ECCE 2020 - IEEE Energy Conversion Congress and Exposition. Institute of Electrical and Electronics Engineers, 2020. p. 728-735 9235921 (ECCE 2020 - IEEE Energy Conversion Congress and Exposition).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Overload Performance Prediction of PM and Synchronous Reluctance Machines for Traction Applications

AU - Carbonieri, Matteo

AU - Soong, Wen L.

AU - Mahmoudi, Amin

AU - Kahourzade, Solmaz

AU - Bianchi, Nicola

N1 - Conference code: 12

PY - 2020/10/11

Y1 - 2020/10/11

N2 - This paper proposes several methods to compare the overload performance of different types of synchronous machines for electric traction applications. An ideal model to predict the performance of the motor at high overload condition is introduced. In the simplified analytical saturation model, the saturation flux linkage is a parameter. This allows the performance prediction as a function of three normalized parameters: magnet flux linkage, unsaturated inductance and saliency ratio.The other main part of the work concerns the machines analysis using the finite element approach. Models with different levels of accuracy and generality show the possibility of reducing the number of simulations in the d- and q-axis currents plane to obtain the full performance prediction. Machines with different level of cross saturation are considered to test the proposed models.Simulation results of the studied approaches are compared with the prediction obtained from the full machine mapping using finite element analysis, in which a large number of evenly spaced points in the (id,iq) plane are analyzed to derive the working characteristics.

AB - This paper proposes several methods to compare the overload performance of different types of synchronous machines for electric traction applications. An ideal model to predict the performance of the motor at high overload condition is introduced. In the simplified analytical saturation model, the saturation flux linkage is a parameter. This allows the performance prediction as a function of three normalized parameters: magnet flux linkage, unsaturated inductance and saliency ratio.The other main part of the work concerns the machines analysis using the finite element approach. Models with different levels of accuracy and generality show the possibility of reducing the number of simulations in the d- and q-axis currents plane to obtain the full performance prediction. Machines with different level of cross saturation are considered to test the proposed models.Simulation results of the studied approaches are compared with the prediction obtained from the full machine mapping using finite element analysis, in which a large number of evenly spaced points in the (id,iq) plane are analyzed to derive the working characteristics.

KW - synchronous machines

KW - electric traction

KW - traction applications

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KW - overload performance

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Y2 - 11 October 2020 through 15 October 2020

ER -

Carbonieri M, Soong WL, Mahmoudi A, Kahourzade S, Bianchi N. Overload Performance Prediction of PM and Synchronous Reluctance Machines for Traction Applications. In ECCE 2020 - IEEE Energy Conversion Congress and Exposition. Institute of Electrical and Electronics Engineers. 2020. p. 728-735. 9235921. (ECCE 2020 - IEEE Energy Conversion Congress and Exposition). doi: 10.1109/ECCE44975.2020.9235921

Overload Performance Prediction of PM and Synchronous Reluctance Machines for Traction Applications

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