Influence of Shaft on Post-Assembly Magnetization for V-Type IPMSMs

Post-assembly magnetization (PAM) has become a widely adopted technique in the production of permanent magnet (PM) electrical machines, offering advantages such as simplified assembly processes and reduced manufacturing costs. However, for V-type interior PM synchronous machines (IPMSMs), magnetizing the bottom regions of V-shaped PMs deep inside the rotor close to the shaft presents significant challenges due to weaker magnetizing fields in these areas. Consequently, achieving full magnetization for the PMs often requires a substantial increase in the charging voltage. This paper investigates the influence of the shaft material on the PAM process, considering the effects of eddy currents within the shaft. The impact of the shaft's electrical conductivity and magnetic permeability on the magnetizing field strength is analyzed using the magnetic equivalent circuit (MEC) model and then verified with finite element analysis (FEA). The results suggest that a proper selection of shaft material can suppress eddy currents within the shaft, strengthen the magnetizing field in hard-to-magnetize PM regions, and reduce energy consumption during PAM. Experimental tests are carried out with shafts made of different materials and validate the effectiveness of the proposed approach.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Industry Applications
Published
2025-04-01
DOI
https://doi.org/10.1109/tia.2025.3556652
Primary Topic
Electric Motor Design and Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Influence of Shaft on Post-Assembly Magnetization for V-Type IPMSMs

Jian‐Xin Shen, Zi-Ang Zhu, Dan Shi, Lixin Zhou et al.
IEEE Transactions on Industry Applications
Electric Motor Design and Analysis
article

Influence of Shaft on Post-Assembly Magnetization for V-Type IPMSMs

Jian‐Xin Shen, Zi-Ang Zhu, Dan Shi, Lixin Zhou, Yunchong Wang, Shun Cai
article en

Abstract

Post-assembly magnetization (PAM) has become a widely adopted technique in the production of permanent magnet (PM) electrical machines, offering advantages such as simplified assembly processes and reduced manufacturing costs. However, for V-type interior PM synchronous machines (IPMSMs), magnetizing the bottom regions of V-shaped PMs deep inside the rotor close to the shaft presents significant challenges due to weaker magnetizing fields in these areas. Consequently, achieving full magnetization for the PMs often requires a substantial increase in the charging voltage. This paper investigates the influence of the shaft material on the PAM process, considering the effects of eddy currents within the shaft. The impact of the shaft's electrical conductivity and magnetic permeability on the magnetizing field strength is analyzed using the magnetic equivalent circuit (MEC) model and then verified with finite element analysis (FEA). The results suggest that a proper selection of shaft material can suppress eddy currents within the shaft, strengthen the magnetizing field in hard-to-magnetize PM regions, and reduce energy consumption during PAM. Experimental tests are carried out with shafts made of different materials and validate the effectiveness of the proposed approach.

IEEE Transactions on Industry ApplicationsVol. 61(5)
China Automotive Technology and Research Center (CN), Zhejiang Institute of Mechanical and Electrical Engineering (CN), University College London (GB), Zhejiang University (CN)
Affordable and clean energy
Openalex Percentile: Top 95%
Electric Motor Design and Analysis
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.