摘要
准确分析电机结构以及磁饱和等因素对气隙磁场分布的影响是永磁电机设计、优化的关键。以分数槽集中绕组内置式永磁同步电机(FSCW-IPMSM)为研究对象,根据磁路分析方法和FSCW的分布规律,分别得到了考虑转子磁桥漏磁的空载永磁磁场解析模型和电枢反应磁场的解析表达式。考虑到定子齿槽结构以及转子内部永磁体分布,利用相对气隙磁导,将定子开槽和转子凸极对气隙磁场的影响考虑在内。重点结合定子铁心材料的B-H磁化曲线、定子铁心局部磁饱和特性引入铁心等效磁阻与动态磁导率来考虑定子铁心磁饱和对负载气隙磁场的影响。最后,有限元仿真和样机试验结果验证了理论分析的准确性,为该类电机的电磁设计和性能分析提供了理论基础。
Accurate analysis of the influence of the motor structure and magnetic saturation on the air-gap magnetic field distribution is the key to the design and optimization of permanent magnet motor.Taking the fractional slot concentrated winding interior permanent magnet synchronous motor(FSCW-IPMSM)as the research object,the analytical model of no-load permanent magnet magnetic field considering rotor magnetic bridge leakage and the analytical expression of armature reaction magnetic field are obtained respectively based on the magnetic circuit analysis method and the distribution law of FSCW.Considering the stator slot structure and the permanent magnet distribution in the rotor,the influence of stator slot and rotor salient pole on the air-gap magnetic field is taken into account by relative air-gap permeability.Combined with the B-H magnetization curve of the stator core material and the local magnetic saturation characteristics of the stator core,the core equivalent magnetic resistance and dynamic permeability are introduced to consider the effect of the stator core magnetic saturation on the loaded air-gap magnetic field.Finally,the results of finite element simulation and prototype test verify the accuracy of theoretical analysis.It provides a theoretical basis for the electromagnetic design and performance analysis of this type of motor.
作者
邢庆利
王玉彬
杜锌成
XING Qingli;WANG Yubin;DU Xincheng(College of New Energy,China University of Petroleum(East China),Qingdao 266580,China)
出处
《电机与控制应用》
2022年第1期39-48,共10页
Electric machines & control application
基金
国家自然科学基金项目(51777216)。
关键词
内置式永磁同步电机
气隙磁场
相对气隙磁导
磁饱和
解析模型
interior permanent magnet synchronous motor(IPMSM)
air-gap magnetic field
relative air-gap permeability
magnetic saturation
analytical model
