A hybrid computational tool to analyze the performance of electric machines with reduced content of permanent magnet

R. M. Ram Kumar; Muhammad Raza Khowja; Gaurang Vakil; David Gerada; Chris Gerada; Krzysztof Paciura; B. G. Fernandes

doi:10.1109/ITEC48692.2020.9161631

A hybrid computational tool to analyze the performance of electric machines with reduced content of permanent magnet

R. M. Ram Kumar
, Muhammad Raza Khowja
, Gaurang Vakil
, David Gerada
, Chris Gerada
, Krzysztof Paciura
, B. G. Fernandes

Nottingham Electrification Centre

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

1 Citation (Scopus)

Abstract

Electric vehicles (EVs) are equipped with interior permanent magnet (IPM) or permanent magnet assisted synchronous reluctance (PM-SynRel) machines because of their superior performance in field weakening region. The effect of saturation is more pronounced in these machines. This prohibits the use of simple analytical tools utilizing constant machine parameters for d and q axis inductance (mathrmL_mathrmd and mathrmL_mathrmq) from accurately predicting control variables like current advance angle, terminal voltage, torque, etc. As a result, design and optimization of IPM and PM-SynRel machines are constrained to time consuming transient finite element analysis (FEA) performed at rated operating point. A hybrid method is introduced in this paper to estimate the complete torque speed characteristics of IPM and PM-SynRel machines. The hybrid method works by employing simple analytical formulation alongside static FEA, thereby, reducing the computational time by more than 10 times. This enables optimization of electric machines considering complete torque speed characteristics with reduced computational burden. In addition, the accuracy of hybrid method utilizing static FEA is found to be on par with complete transient FEA analysis.

Original language	English
Title of host publication	2020 IEEE Transportation Electrification Conference and Expo, ITEC 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	340-345
Number of pages	6
ISBN (Electronic)	9781728146294
DOIs	https://doi.org/10.1109/ITEC48692.2020.9161631
Publication status	Published - Jun 2020
Event	2020 IEEE Transportation Electrification Conference and Expo, ITEC 2020 - Chicago, United States Duration: 23 Jun 2020 → 26 Jun 2020

Publication series

Name	2020 IEEE Transportation Electrification Conference and Expo, ITEC 2020

Conference

Conference	2020 IEEE Transportation Electrification Conference and Expo, ITEC 2020
Country/Territory	United States
City	Chicago
Period	23/06/20 → 26/06/20

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Free Keywords

IPM
PM-SynRel
reduced PM and Static FEA

ASJC Scopus subject areas

Energy Engineering and Power Technology
Automotive Engineering
Transportation

Access to Document

10.1109/ITEC48692.2020.9161631

Cite this

Ram Kumar, R. M., Khowja, M. R., Vakil, G., Gerada, D., Gerada, C., Paciura, K., & Fernandes, B. G. (2020). A hybrid computational tool to analyze the performance of electric machines with reduced content of permanent magnet. In 2020 IEEE Transportation Electrification Conference and Expo, ITEC 2020 (pp. 340-345). Article 9161631 (2020 IEEE Transportation Electrification Conference and Expo, ITEC 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ITEC48692.2020.9161631

Ram Kumar, R. M. ; Khowja, Muhammad Raza ; Vakil, Gaurang et al. / A hybrid computational tool to analyze the performance of electric machines with reduced content of permanent magnet. 2020 IEEE Transportation Electrification Conference and Expo, ITEC 2020. Institute of Electrical and Electronics Engineers Inc., 2020. pp. 340-345 (2020 IEEE Transportation Electrification Conference and Expo, ITEC 2020).

@inproceedings{a2801210378d4ad29c6063c8d9013a50,

title = "A hybrid computational tool to analyze the performance of electric machines with reduced content of permanent magnet",

abstract = "Electric vehicles (EVs) are equipped with interior permanent magnet (IPM) or permanent magnet assisted synchronous reluctance (PM-SynRel) machines because of their superior performance in field weakening region. The effect of saturation is more pronounced in these machines. This prohibits the use of simple analytical tools utilizing constant machine parameters for d and q axis inductance (mathrmL\_mathrmd and mathrmL\_mathrmq) from accurately predicting control variables like current advance angle, terminal voltage, torque, etc. As a result, design and optimization of IPM and PM-SynRel machines are constrained to time consuming transient finite element analysis (FEA) performed at rated operating point. A hybrid method is introduced in this paper to estimate the complete torque speed characteristics of IPM and PM-SynRel machines. The hybrid method works by employing simple analytical formulation alongside static FEA, thereby, reducing the computational time by more than 10 times. This enables optimization of electric machines considering complete torque speed characteristics with reduced computational burden. In addition, the accuracy of hybrid method utilizing static FEA is found to be on par with complete transient FEA analysis.",

keywords = "IPM, PM-SynRel, reduced PM and Static FEA",

author = "\{Ram Kumar\}, \{R. M.\} and Khowja, \{Muhammad Raza\} and Gaurang Vakil and David Gerada and Chris Gerada and Krzysztof Paciura and Fernandes, \{B. G.\}",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 IEEE Transportation Electrification Conference and Expo, ITEC 2020 ; Conference date: 23-06-2020 Through 26-06-2020",

year = "2020",

month = jun,

doi = "10.1109/ITEC48692.2020.9161631",

language = "English",

series = "2020 IEEE Transportation Electrification Conference and Expo, ITEC 2020",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "340--345",

booktitle = "2020 IEEE Transportation Electrification Conference and Expo, ITEC 2020",

address = "United States",

}

Ram Kumar, RM, Khowja, MR, Vakil, G, Gerada, D, Gerada, C, Paciura, K & Fernandes, BG 2020, A hybrid computational tool to analyze the performance of electric machines with reduced content of permanent magnet. in 2020 IEEE Transportation Electrification Conference and Expo, ITEC 2020., 9161631, 2020 IEEE Transportation Electrification Conference and Expo, ITEC 2020, Institute of Electrical and Electronics Engineers Inc., pp. 340-345, 2020 IEEE Transportation Electrification Conference and Expo, ITEC 2020, Chicago, United States, 23/06/20. https://doi.org/10.1109/ITEC48692.2020.9161631

A hybrid computational tool to analyze the performance of electric machines with reduced content of permanent magnet. / Ram Kumar, R. M.; Khowja, Muhammad Raza; Vakil, Gaurang et al.
2020 IEEE Transportation Electrification Conference and Expo, ITEC 2020. Institute of Electrical and Electronics Engineers Inc., 2020. p. 340-345 9161631 (2020 IEEE Transportation Electrification Conference and Expo, ITEC 2020).

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

TY - GEN

T1 - A hybrid computational tool to analyze the performance of electric machines with reduced content of permanent magnet

AU - Ram Kumar, R. M.

AU - Khowja, Muhammad Raza

AU - Vakil, Gaurang

AU - Gerada, David

AU - Gerada, Chris

AU - Paciura, Krzysztof

AU - Fernandes, B. G.

PY - 2020/6

Y1 - 2020/6

N2 - Electric vehicles (EVs) are equipped with interior permanent magnet (IPM) or permanent magnet assisted synchronous reluctance (PM-SynRel) machines because of their superior performance in field weakening region. The effect of saturation is more pronounced in these machines. This prohibits the use of simple analytical tools utilizing constant machine parameters for d and q axis inductance (mathrmL_mathrmd and mathrmL_mathrmq) from accurately predicting control variables like current advance angle, terminal voltage, torque, etc. As a result, design and optimization of IPM and PM-SynRel machines are constrained to time consuming transient finite element analysis (FEA) performed at rated operating point. A hybrid method is introduced in this paper to estimate the complete torque speed characteristics of IPM and PM-SynRel machines. The hybrid method works by employing simple analytical formulation alongside static FEA, thereby, reducing the computational time by more than 10 times. This enables optimization of electric machines considering complete torque speed characteristics with reduced computational burden. In addition, the accuracy of hybrid method utilizing static FEA is found to be on par with complete transient FEA analysis.

AB - Electric vehicles (EVs) are equipped with interior permanent magnet (IPM) or permanent magnet assisted synchronous reluctance (PM-SynRel) machines because of their superior performance in field weakening region. The effect of saturation is more pronounced in these machines. This prohibits the use of simple analytical tools utilizing constant machine parameters for d and q axis inductance (mathrmL_mathrmd and mathrmL_mathrmq) from accurately predicting control variables like current advance angle, terminal voltage, torque, etc. As a result, design and optimization of IPM and PM-SynRel machines are constrained to time consuming transient finite element analysis (FEA) performed at rated operating point. A hybrid method is introduced in this paper to estimate the complete torque speed characteristics of IPM and PM-SynRel machines. The hybrid method works by employing simple analytical formulation alongside static FEA, thereby, reducing the computational time by more than 10 times. This enables optimization of electric machines considering complete torque speed characteristics with reduced computational burden. In addition, the accuracy of hybrid method utilizing static FEA is found to be on par with complete transient FEA analysis.

KW - IPM

KW - PM-SynRel

KW - reduced PM and Static FEA

UR - https://www.scopus.com/pages/publications/85096598027

U2 - 10.1109/ITEC48692.2020.9161631

DO - 10.1109/ITEC48692.2020.9161631

M3 - Conference contribution

AN - SCOPUS:85096598027

T3 - 2020 IEEE Transportation Electrification Conference and Expo, ITEC 2020

SP - 340

EP - 345

BT - 2020 IEEE Transportation Electrification Conference and Expo, ITEC 2020

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2020 IEEE Transportation Electrification Conference and Expo, ITEC 2020

Y2 - 23 June 2020 through 26 June 2020

ER -

Ram Kumar RM, Khowja MR, Vakil G, Gerada D, Gerada C, Paciura K et al. A hybrid computational tool to analyze the performance of electric machines with reduced content of permanent magnet. In 2020 IEEE Transportation Electrification Conference and Expo, ITEC 2020. Institute of Electrical and Electronics Engineers Inc. 2020. p. 340-345. 9161631. (2020 IEEE Transportation Electrification Conference and Expo, ITEC 2020). doi: 10.1109/ITEC48692.2020.9161631

A hybrid computational tool to analyze the performance of electric machines with reduced content of permanent magnet

Abstract

Publication series

Conference

UN SDGs

Free Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this