Analysis and Efficient Calculation of the Magnet Eddy Current Loss of PMSM

Accurate evaluation of eddy current losses (ECL) in permanent magnets is crucial for thermal design and operational safety in permanent magnet synchronous machines (PMSMs). In this paper, the composition of magnetic flux harmonics responsible for the ECL is characterized. A spoke-type interior PMSM fractional slot is used as an example to verify the obtained patterns. The influence of current harmonics on the ECL is further evaluated using the finite element method, based on which a simplified prediction model with only two coefficients for the evaluation of ECL in PMSMs is proposed. Finally, an efficient semi-analytical synthesis method based on a limited number of finite element cases has been proposed to consider the impact of high-frequency current harmonics on the ECL. The saturation of the iron core is taken care of by adopting the frozen permeability technique. The comparison of the ECL values and the calculation time under several operation conditions when adopting the conventional time-stepping finite element analysis and the proposed semi-analytical method validate the accuracy of the proposed one. It is shown that the proposed method has the potential to significantly reduce the time needed for the evaluation of ECL considering the influence of current harmonics.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Industry Applications
Published
2024-09-10
DOI
https://doi.org/10.1109/tia.2024.3457891
Citations
2
Primary Topic
Non-Destructive Testing Techniques
Type
article
Field-Weighted Citation Impact
0.43
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysis and Efficient Calculation of the Magnet Eddy Current Loss of PMSM

Chendong Liao, Chen Wang, Jianbin Han, Jian Zhang et al.
2 citations
IEEE Transactions on Industry Applications
Non-Destructive Testing Techniques
0.43
article

Analysis and Efficient Calculation of the Magnet Eddy Current Loss of PMSM

Chendong Liao, Chen Wang, Jianbin Han, Jian Zhang, Zhuoran Zhang, Peng Wang
article en
2 citations

Abstract

Accurate evaluation of eddy current losses (ECL) in permanent magnets is crucial for thermal design and operational safety in permanent magnet synchronous machines (PMSMs). In this paper, the composition of magnetic flux harmonics responsible for the ECL is characterized. A spoke-type interior PMSM fractional slot is used as an example to verify the obtained patterns. The influence of current harmonics on the ECL is further evaluated using the finite element method, based on which a simplified prediction model with only two coefficients for the evaluation of ECL in PMSMs is proposed. Finally, an efficient semi-analytical synthesis method based on a limited number of finite element cases has been proposed to consider the impact of high-frequency current harmonics on the ECL. The saturation of the iron core is taken care of by adopting the frozen permeability technique. The comparison of the ECL values and the calculation time under several operation conditions when adopting the conventional time-stepping finite element analysis and the proposed semi-analytical method validate the accuracy of the proposed one. It is shown that the proposed method has the potential to significantly reduce the time needed for the evaluation of ECL considering the influence of current harmonics.

IEEE Transactions on Industry ApplicationsVol. 60(6)
Anhui Polytechnic University (CN), Nanjing University of Aeronautics and Astronautics (CN)
Affordable and clean energy
Openalex Percentile: Top 43%
Non-Destructive Testing Techniques
0.43
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.