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Airgap Length Analysis of a 350 kw PM-Assisted Syn-Rel Machine for Heavy Duty EV Traction

Authors :
Zou, Tianjie
Gerada, David
Rocca, Salvatore La
Rocca, Antonino La
Walker, Adam
Vakil, Gaurang
Arevalo, S. L.
Xu, Zeyuan
Cui, Mengmeng
Bardalai, Anuvav
Wang, Meiqi
Kumar, R. M. Ram
Marfoli, Alessandro
Paciura, Krzysztof
Barden, Richard
Ernest, Emil
Zhu, Shaohong
Qayyum, Naila
McQueen, Alastair
Zhang, Fengyu
Gerada, Chris
Source :
IEEE Transactions on Industry Applications; 2023, Vol. 59 Issue: 2 p1557-1570, 14p
Publication Year :
2023

Abstract

Synchronous reluctance (Syn-Rel) machines with embedded permanent magnets (PMs) are research hotspots in variable speed motor drives due to their robust rotor structure and wide constant power speed range (CPSR). In this article, the potential of PM-assisted Syn-Rel machine to be next generation heavy duty traction motor solution has been investigated, with special attention put on one key geometric parameter, i.e., airgap length. Careful machine design and optimization has been conducted based on geometric parametrization including airgap length variation, for 15000 rpm peak speed and 350 kW peak power output. In low speed operations, the influence of airgap length on different torque components has been analyzed in detail based on the frozen permeability method. In field weakening region, the variation trend of several key parameters such as output power, torque ripple, and power losses have been investigated along with airgap length. It is found that with high electric and magnetic loading, reducing the electromagnetic airgap length is not always beneficial. There exists a suitable airgap length value to comprehensively balance torque/power density, cooling capability, efficiency and reliability. Numerical FEA and experimental tests of the prototype are combined to verify the conclusions.

Details

Language :
English
ISSN :
00939994
Volume :
59
Issue :
2
Database :
Supplemental Index
Journal :
IEEE Transactions on Industry Applications
Publication Type :
Periodical
Accession number :
ejs62603087
Full Text :
https://doi.org/10.1109/TIA.2022.3225255