
Performance prediction of surface‐mounted permanent magnet synchronous motor based on ring specimen test result
Author(s) -
Kim DongMin,
Chin JunWoo,
Hong JungPyo,
Lim MyungSeop
Publication year - 2019
Publication title -
iet electric power applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.815
H-Index - 97
eISSN - 1751-8679
pISSN - 1751-8660
DOI - 10.1049/iet-epa.2018.5382
Subject(s) - finite element method , frame (networking) , electric motor , ring (chemistry) , magnet , similarity (geometry) , materials science , structural engineering , engineering , mechanical engineering , computer science , image (mathematics) , organic chemistry , artificial intelligence , chemistry
The B–H curve and iron loss of electrical steel sheets are essential data for predicting the performance of electric motors. The Epstein frame test is widely adopted to acquire these magnetic properties. However, for rotating electric machines with relatively small geometry, the ring specimen test is preferred because of its simplicity and geometric similarity. This study deals with the experimental verification of the ring specimen test. The B–H curve and iron loss of non‐oriented electrical steel sheets are measured via the Epstein frame test and the ring specimen test. Each result is applied in finite element analysis (FEA) of the fabricated electric motor. Furthermore, using these FEA results and the d‐q ‐axis equivalent circuit, the performance of the electric motor is predicted. For experimental verification, electric motor tests are performed under no‐load and load conditions.