메뉴 건너뛰기
소속 기관 / 학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
고객센터 ENG
주제분류

논문 기본 정보

저자정보
(Korea Electric Power Research Institute) (Korea Institute of Industrial Technology)
저널정보
한국자기학회 Journal of Magnetics Journal of Magnetics Vol.30 No.3
오류 신고하기

피인용 0

검색

    초록·키워드

    Electric vehicle (EV) component motors are typically powered by a 12V low-voltage supply, requiring high current operation to deliver sufficient torque and output. Under such conditions, the number of winding turns critically influences key electrical parameters such as back electromotive force (EMF), inductance, and resistance. In particular, current-dominant environments make the system more sensitive to the number of turns. However, most motor design and analysis workflows still rely on manually specified turn counts, limiting both analytical precision and design automation. This study proposes a geometry-based algorithm for automatically estimating the number of winding turns using stator parameters. The method incorporates geometric features such as coil diameter, insulation thickness, and slot shape to enable accurate prediction of winding arrangement. Simulation results demonstrate strong agreement with actual winding configurations and show superior performance compared to conventional approaches in terms of computational efficiency and structural feasibility. These results are expected to support automated motor design workflows and improve the accuracy of electromagnetic performance evaluation.

    최근 본 자료 전체보기

      UCI(KEPA) : I410-151-26-02-094397176