@inproceedings{4fa79371ccaf46d884ace999ae71fcb9,
title = "A study to determine design parameters with statisticalmethodsconsidering cogging torque of EPS motors",
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).",
keywords = "List 3-5 keywords from the provided keyword list in 9.5pt italic, Separated by commas",
author = "Park, {Soo Hwan} and Lim, {Myung Seop} and Jung, {Kyung Tae} and Hong, {Jung Pyo}",
year = "2015",
language = "English",
series = "28th International Electric Vehicle Symposium and Exhibition 2015, EVS 2015",
publisher = "Korean Society of Automotive Engineers",
booktitle = "28th International Electric Vehicle Symposium and Exhibition 2015, EVS 2015",
address = "Korea, Republic of",
note = "28th International Electric Vehicle Exhibition, EVS 2015 ; Conference date: 03-05-2015 Through 06-05-2015",
}