混合动力汽车用内置永磁同步电动机参数估计方法研究  

Research on Parameters Estimation Method of IPMSM in HEV Application

作　　者：马建伟[1] 梁晓琳[1] 张鹏飞[1] 

机构地区：[1]邢台职业技术学院,邢台054000

出　　处：《微特电机》2016年第8期35-39,共5页Small & Special Electrical Machines

基　　金：河北省教育厅青年基金项目(QN20140202);河北省教育厅项目(ZD2015015);河北省科技计划项目(15212209)

摘　　要：内置式永磁同步电机具有恒功率范围宽、功率密度大、效率高等特点,因此其在混合动力汽车中的应用比较广泛。由于混合动力汽车用电机工作环境恶劣、负载突变大,且内置式永磁同步电机的参数易受温度、磁饱和等因素的影响,大大降低了其控制性能。针对电机的精确控制,首先建立了前置永磁同步电机的数学模型;电机转矩主要与磁链和d,q轴电感差值有关,故针对电机磁链和电感进行在线估计。提出了一种基于前馈式电流解耦的磁链估计算法,能够很好地消除工况变化对电机的影响;同时提出了一种基于功率闭环的d,q轴电感差值估计算法,可实现电机的精确控制。仿真和实验验证了所述参数估计方法的有效性。The interior permanent magnet synchronous motor （IPMSM） is widely used in hybrid electric vehicle（HEV） with its characteristics such as wide range of constant power, large power density, and high efficiency, etc. Becauseof the poor working condition and big load mutation of HEV as well as the influence of temperature and magnetic saturationon IPMSM, the control performance was greatly reduced. In order to achieve the precise control of IPMSM, its mathematicalmodel was set up in this paper. The motor torque was related with flux linkage and d , q axis inductance difference,so the parameters estimation was mainly targeted at flux linkage and inductance. A kind of flux estimation method based oncurrent feed-forward decoupling algorithm was put forward. It can effectively eliminate the influence of condition change onthe motor. At the same time a kind of d , q axis inductance value estimation algorithm based on power closed loop was alsoput forward, which can realize the precise control of the motor. The simulation and experimental results verify the effectivenessof the parameter estimation method described in this article.

关 键 词：内置永磁同步电机 磁链估计 混合动力汽车 

分 类 号：TM351[电气工程—电机]