Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

A study to determine design parameters with statisticalmethodsconsidering cogging torque of EPS motors

Authors
Park, S.-H.Lim, Myung SeopJung, K.-T.Hong, J.-P.
Issue Date
2015
Publisher
Korean Society of Automotive Engineers
Keywords
List 3-5 keywords from the provided keyword list in 9.5pt italic; Separated by commas
Citation
28th International Electric Vehicle Symposium and Exhibition 2015, EVS 2015
Indexed
SCOPUS
Journal Title
28th International Electric Vehicle Symposium and Exhibition 2015, EVS 2015
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/158310
ISSN
0000-0000
Abstract
Nowadays, the trend of automobile part is being electric/electronic. Thus, a vehicle steering system is replaced with Electric Power Steering (EPS) system that gain power from electric motors. In the electric motors of EPS system, reducing cogging torque is one of the most important part in designing the electric motors. It takes much cost to select proper design variables in designing the electric motors. In this paper, statistical methods that screen the design variables which affect on cogging torque are introduced. The impacts of design variables will be investigated by using full factorial design (FFD) and multiple regression. The performance of the electric motors will be checked by 2-D Finite Element Analysis (2-D FEA).
Files in This Item
There are no files associated with this item.
Appears in
Collections
서울 공과대학 > 서울 미래자동차공학과 > 1. Journal Articles

qrcode

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

Related Researcher

Researcher Lim, Myung Seop photo

Lim, Myung Seop
COLLEGE OF ENGINEERING (DEPARTMENT OF AUTOMOTIVE ENGINEERING)
Read more

Altmetrics

Total Views & Downloads

BROWSE