Abstract
High-performance propulsion motors for more electric aircrafts (MEAs) 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 paper first proposes an exact analytical model for slotless PMSM with segmented Halbach PMs. Then, the model is applied in the fast computation of 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 rapidity and accuracy. Finally, by prototype fabrication and unique field measurement methods, the flux density distribution is originally validated.
| Original language | English |
|---|---|
| Pages (from-to) | 1577-1591 |
| Journal | IEEE Transactions on Transportation Electrification |
| Volume | 6 |
| Issue number | 4 |
| Online published | 23 Mar 2020 |
| DOIs | |
| Publication status | Published - Dec 2020 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Research Keywords
- Design of experiment
- Halbach magnetization
- more electric aircraft (MEA)
- permanent magnet synchronous machine (PMSM)
- slotless
RGC Funding Information
- RGC-funded
Fingerprint
Dive into the research topics of 'Field Prediction and Validation of a Slotless Segmented-Halbach Permanent Magnet Synchronous Machine for More Electric Aircraft'. Together they form a unique fingerprint.Projects
- 1 Finished
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ECS: Development of Novel High-performance Double-stator Motor Drives for Direct-drive Robotics
LIU, C. (Principal Investigator / Project Coordinator)
1/10/16 → 15/09/20
Project: Research
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