AUTHOR : Soo-Hwan Park, Myung-Seop Lim, Kyung-Tae Jung, Jung-Pyo Hong
ORGANIZATION : KSAE
JOURNAL :
YEAR : 2015
VOL :
ISSUE : EVS 28
PAGE : 1 ~ 4
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).