Stator winding Inter-turn short-circuit and air gap eccentricity fault detection of a Permanent Magnet-Assisted Synchronous Reluctance Motor in Electrified vehicle

被引:0
作者
Lare, P. [1 ,2 ,3 ]
Sarabi, S. [1 ]
Delpha, C. [3 ]
Nasr, A. [1 ]
Diallo, D. [2 ]
机构
[1] IFP Energies Nouvelles, Inst Carnot IFPEN Transports Energie, 1&4 Ave Bois Preau, Rueil Malmaison, France
[2] Univ Paris Saclay, Sorbonne Univ, GeePs, CNRS,Cent Supelec, Gif Sur Yvette, France
[3] Univ Paris Saclay, CNRS, Lab Signaux & Syst, Cent Supelec, Gif Sur Yvette, France
来源
2021 24TH INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS (ICEMS 2021) | 2021年
关键词
Fault modelling; Inter-turn short-circuit; dynamic eccentricity; fault detection;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper describes the development of a model to evaluate stator winding and air gap eccentricity faults for a Permanent Magnet-Assisted Synchronous Reluctance in an electric vehicle. Thanks to Finite Element Analysis under healthy and faulty cases with different severity levels, accurate expressions of the inductances can be obtained considering magnetic saturation and slotting effects. Then a physics-based (analytical) model of the motor is derived. This analytical model can be used to simulate the closed-loop electrical vehicle powertrain and analyze the fault signatures for several operating points. Thanks to this model, simulation results have shown that fault features can be extracted and analyzed for fault detection and diagnosis from the already available stator phase currents despite the operation of the controllers.
引用
收藏
页码:932 / 937
页数:6
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