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作 者:庞悦 张成新 刘方韬 PANG Yue;ZHANG Chengxin;LIU Fangtao(College of Engineering,Qufu Normal University,Rizhao 276800,China)
出 处:《微特电机》2025年第2期45-48,59,共5页Small & Special Electrical Machines
摘 要:同步磁阻电机具有永磁材料消耗少、调速范围广、生产成本低等优势,在新能源汽车领域具有显著竞争力。采用归一化高斯网络对一台额定功率为22 kW、转速为3000 r/min的同步磁阻电机转子进行拓扑优化,并提出一种基于高斯平滑的B样条改进算法,对优化后的边界进行平滑处理。研究结果表明,优化后的电机平均转矩增加1.91 N·m、转矩脉动减小3.5%,电机性能得到改善。The synchronous reluctance motor,with its advantages of low permanent magnet material consumption,wide speed control range and low production cost has significant competitiveness in the field of new energy vehicles.A normalized Gaussian network was used for the topological optimization of the rotor of a synchronous reluctance motor with a rated power of 22 kW and a speed of 3000 r/min.A Gaussian smoothing-based B-spline improvement algorithm was proposed to smooth the optimized boundary.The results indicate that the optimized motor shows an increase of 1.91 N·m in average torque,a 3.5%reduction in torque ripple and an overall improvement in motor performance.
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