Detailed Information

Cited 1 time in webofscience Cited 2 time in scopus
Metadata Downloads

Analysis and verification of traction motor iron loss for hybrid electric vehicles based on current source analysis considering inverter switching carrier frequency

Authors
Lee, J.-H.[Lee, J.-H.]Kim, W.-J.[Kim, W.-J.]Jung, S.-Y.[Jung, S.-Y.]
Issue Date
Nov-2021
Publisher
MDPI
Keywords
Fast fourier transform; Hybrid electric vehicle; Inverter switching frequency; Iron loss; Total harmonic distortion; Traction motor
Citation
Electronics (Switzerland), v.10, no.21
Indexed
SCIE
SCOPUS
Journal Title
Electronics (Switzerland)
Volume
10
Number
21
URI
https://scholarworks.bwise.kr/skku/handle/2021.sw.skku/90663
DOI
10.3390/electronics10212714
ISSN
2079-9292
Abstract
In this study, a current source analysis method considering the inverter switching frequency is proposed to improve the precision of loss analysis of a traction motor for a hybrid electric vehicle. Because the iron loss of the traction motor is sensitively influenced by input current fluctuations, the current source analysis using the actual current obtained from an inverter is the ideal method for accurate analysis. However, as the traction motor and inverter should be manufactured to obtain the real current, the traction motor is generally designed based on an ideal current source analysis. Our proposed method is an analytic technique that fits the loss of a traction motor similar to the actual loss by injecting harmonics of the same order of the inverter switching frequency into the ideal input current. Our method is compared with the analysis of the ideal current source to assess the difference in loss. In addition, a test motor was manufactured, and an efficiency test was conducted to compare the efficiency and verify the effectiveness of our method. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
Files in This Item
There are no files associated with this item.
Appears in
Collections
Information and Communication Engineering > School of Electronic and Electrical Engineering > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher JUNG, SANG YONG photo

JUNG, SANG YONG
Information and Communication Engineering (Electronic and Electrical Engineering)
Read more

Altmetrics

Total Views & Downloads

BROWSE