인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
개인구독
소속 기관이 없으신 경우, 개인 정기구독을 하시면 저렴하게
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지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
With the expansion of the electrical vehicle automobile industry, the importance of operating traction motors at optimal operating points has increased. However, the characteristics of internal resistances and permanent magnets vary with temperature, requiring control strategies based on the loss prediction to estimate thermal behavior and efficiency . Several methods have been proposed to estimate iron loss of motors, such as Steinmetz method based on Fast Fourier Transform, loss separation method based on Fast Fourier Transform and the method considering the influence of DC bias fields and hysteresis minor loops. DC-biased magnetic, etc.
In this paper, a motor-inverter system was modeled to generate three-phase current harmonics and compared the result between Steinmetz method based on Fast Fourier transform with and without consideration the phase of magnetic flux density obtained from Finite element analysis. The analysis was performed on 8 pole, 48 slots IPMSM model. The simulation result showed that when harmonic current is applied, iron loss increased by about 3% in the sinusoidal area when the phase of the magnetic flux density was considered, whereas it decreased by 2% in the harmonic area under rated torque compared to the case without phase consideration.
In this paper, a motor-inverter system was modeled to generate three-phase current harmonics and compared the result between Steinmetz method based on Fast Fourier transform with and without consideration the phase of magnetic flux density obtained from Finite element analysis. The analysis was performed on 8 pole, 48 slots IPMSM model. The simulation result showed that when harmonic current is applied, iron loss increased by about 3% in the sinusoidal area when the phase of the magnetic flux density was considered, whereas it decreased by 2% in the harmonic area under rated torque compared to the case without phase consideration.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.