TY - JOUR
T1 - Field Prediction and Validation of a Slotless Segmented-Halbach Permanent Magnet Synchronous Machine for More Electric Aircraft
AU - Song, Zaixin
AU - Liu, Chunhua
AU - Feng, Kuo
AU - Zhao, Hang
AU - Yu, Jincheng
N1 - Funding Information:
Manuscript received November 6, 2019; revised February 11, 2020; accepted March 16, 2020. Date of publication March 23, 2020; date of current version October 30, 2020. This work was supported in part by the Natural Science Foundation of China (NSFC), China, under Project 51677159, in part by the Science Technology and Innovation Committee of Shenzhen Municipality, Shenzhen, China, under Project JCYJ20180307123918658, in part by the Research Grants Council, Hong Kong, under Project CityU21201216, in part by the Shenzhen–Hong Kong Innovation Circle Category D Project under Project SGDX2019081623101559, and in part by the Science Technology and Innovation Committee of Shenzhen Municipality, China. (Corresponding author: Chunhua Liu.) The authors are with the School of Energy and Environment, City University of Hong Kong, Hong Kong, and also with the Shenzhen Research Institute, City University of Hong Kong, Shenzhen 518057, China (e-mail: [email protected]; [email protected]; kuo.feng@ my.cityu.edu.hk; [email protected]; [email protected]). Digital Object Identifier 10.1109/TTE.2020.2982733
Publisher Copyright:
© 2015 IEEE.
PY - 2020/12
Y1 - 2020/12
N2 - High-performance propulsion motors for more electric aircraft (MEA) are highly appreciated in transportation electrification. For the widely adopted permanent magnet synchronous machines (PMSMs) for MEA propulsion, the segmented Halbach magnetization has distinct merit that it contributes to sinusoidal air-gap magnetic fields for smooth operation. However, it is hard to fast predict the field distribution and machine performance due to the model complexity. Based on the subdomain method, this article first proposes an exact analytical model for slotless PMSM with the segmented Halbach PMs. Then, the model is applied in the fast computation of the magnetic field and performance prediction. Subsequently, the analytical results are compared with the finite element method (FEM), including the flux density, flux linkage, induced voltage, and steady-state torque at different loads. Also, the computation burden and prediction error are included to validate the model's rapidity and accuracy. Finally, by prototype fabrication and unique field measurement methods, the flux density distribution is originally validated.
AB - High-performance propulsion motors for more electric aircraft (MEA) are highly appreciated in transportation electrification. For the widely adopted permanent magnet synchronous machines (PMSMs) for MEA propulsion, the segmented Halbach magnetization has distinct merit that it contributes to sinusoidal air-gap magnetic fields for smooth operation. However, it is hard to fast predict the field distribution and machine performance due to the model complexity. Based on the subdomain method, this article first proposes an exact analytical model for slotless PMSM with the segmented Halbach PMs. Then, the model is applied in the fast computation of the magnetic field and performance prediction. Subsequently, the analytical results are compared with the finite element method (FEM), including the flux density, flux linkage, induced voltage, and steady-state torque at different loads. Also, the computation burden and prediction error are included to validate the model's rapidity and accuracy. Finally, by prototype fabrication and unique field measurement methods, the flux density distribution is originally validated.
KW - Design of experiment
KW - Halbach magnetization
KW - more electric aircraft (MEA)
KW - permanent magnet synchronous machine (PMSM)
KW - slotless
UR - http://www.scopus.com/inward/record.url?scp=85089221023&partnerID=8YFLogxK
U2 - 10.1109/TTE.2020.2982733
DO - 10.1109/TTE.2020.2982733
M3 - Journal article
AN - SCOPUS:85089221023
SN - 2332-7782
VL - 6
SP - 1577
EP - 1591
JO - IEEE Transactions on Transportation Electrification
JF - IEEE Transactions on Transportation Electrification
IS - 4
M1 - 9044781
ER -