Design Optimisation of a High Power Density Electric Machine using Soft Magnetic Composites

Date

2023

Authors

Roshandel, E.
Ertugrul, N.
Mahmoudi, A.
Kahourzade, S.

Editors

Advisors

Journal Title

Journal ISSN

Volume Title

Type:

Conference paper

Citation

Proceedings of the 32nd Australasian Universities Power Engineering Conference (AUPEC 2022), 2023, pp.1-6

Statement of Responsibility

Emad Roshandel, Nesimi Ertugrul, Amin Mahmoudi, Solmaz Kahourzade

Conference Name

Australasian Universities Power Engineering Conference (AUPEC) (26 Sep 2022 - 28 Sep 2022 : Adelaide, South Australia)

Abstract

Soft magnetic composites (SMCs) are considered in electrical machines applications due to their desirable magnetic properties, such as small eddy current losses. Their thermal isotropy feature is also desirable as it can allow the construction of SMC-based pole pieces to form the stator. In addition, the embedded concentrated winding structure allows to achieve higher power density electric machines. This paper presents an optimization study to offer a high-power density, low cogging torque, and high-efficiency electrical machine that are desirable in a wide range of applications. To achieve these aims, both 2-D finite element model (FEM) and 3-D FEM are developed for a benchmark machine. Then a sensitivity analysis is carried out about the arc and thickness of the permanent magnet (PM), and on the number of turns of the windings under a constant current density both under the no-load and full-load operation of the machine. The results obtained from the sensitivity analysis are used to predict the performance of the SMC-based electric machine in a large search space by means of a surrogate model. Then, a convex optimization problem is solved to find a high torque machine with the minimum cogging torque. The optimal design is validated using the 3-D and 2-D FE analysis (FEA) results performed previously. Finally, the optimal design performance parameters are obtained in the torquespeed envelope. These results are also compared with the performance characteristics of a conventional laminated machine to demonstrate the advantages of the use of SMC in motor design.

School/Discipline

Dissertation Note

Provenance

Description

Access Status

Rights

© 2022, IEEE

License

Grant ID

Call number

Persistent link to this record