A Review of Electric Motors with Soft Magnetic Composite Cores for Electric Drives

被引:25
作者
Guo, Youguang [1 ]
Ba, Xin [1 ]
Liu, Lin [1 ]
Lu, Haiyan [1 ]
Lei, Gang [1 ]
Yin, Wenliang [2 ]
Zhu, Jianguo [2 ]
机构
[1] Univ Technol Sydney, Fac Engn & Informat Technol, Ultimo, NSW 2007, Australia
[2] Univ Sydney, Sch Elect & Informat Engn, Camperdown, NSW 2006, Australia
基金
澳大利亚研究理事会;
关键词
soft magnetic composite; electric motor; magnetic isotropy; three-dimensional magnetic flux; ROBUST DESIGN OPTIMIZATION; SWITCHED RELUCTANCE MOTOR; DIRECT TORQUE CONTROL; BRUSHLESS DC MOTOR; MULTILEVEL OPTIMIZATION; RELUCTIVITY TENSOR; SYNCHRONOUS MOTORS; MACHINE-DESIGN; DISK MOTOR; SYSTEM;
D O I
10.3390/en16042053
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Electric motors play a crucial role in modern industrial and domestic applications. With the trend of more and more electric drives, such as electric vehicles (EVs), the requirements for electric motors become higher and higher, e.g., high power density with good thermal dissipation and high reliability in harsh environments. Many efforts have been made to develop high performance electric motors, such as the application of advanced novel electromagnetic materials, modern control algorithms, advanced mathematical modeling, numerical computation, and artificial intelligence based optimization design techniques. Among many advanced magnetic materials, soft magnetic composite (SMC) appears very promising for developing novel electric motors, thanks to its many unique properties, such as magnetic and thermal isotropies, very low eddy current loss, and the prospect of low-cost mass production. This paper aims to present a comprehensive review about the application of SMC for developing various electric motors for electric drives, with emphasis on those with three-dimensional (3D) magnetic flux paths. The major techniques developed for designing the 3D flux SMC motors are also summarized, such as vectorial magnetic property characterization and system-level multi-discipline robust design optimization. Major challenges and possible future work in this area are also discussed.
引用
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页数:17
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