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.
N1 - Publisher Copyright:
© 2020 IEEE.
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 - http://www.scopus.com/inward/record.url?scp=85096598027&partnerID=8YFLogxK
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 -
