The 9th International Symposium on ADVANCED TOPICS IN ELECTRICAL ENGINEERING 2015

Papers Proceedings »

Study of torque ripple and noise for different rotor topologies of a Synchronous Reluctance Machine

The use of electric machines as traction in electric vehicles raises the concern of the vibration and the noise level generated in the structure. Radial forces in the airgap of electrical machines have a high contribution to these vibrations. This paper presents a coupled finite element method (FEM) for calculating the radial force and torque ripple and predicting the acoustic noise in synchronous reluctance machines (SynRMs). Both the electromechanical properties and natural frequencies of the stator are functions of motor geometry and material properties. Thus the noise and vibration are affected by machine geometry, material properties, and rotational speed. Coupled FEM simulation can be used to predict the noise and vibration levels, already from the early stage of the design process of the motor. The knowledge of the circumferential mode shapes of vibration, the natural frequencies of the stator, and the frequency spectrum of the radial magnetic force can be effectively used to design SynRMs with minimal noise through geometrical design variations. An automatic process has been developed for designing a synchronous reluctance machine, to enable faster implementation of the geometry modifications and investigation of electromechanical properties while regarding also the problems related to noise. Torque ripple and the distribution of radial force in the airgap are calculated on a 2D-model of the motor using JMAG Designer. The electromagnetic loads are then applied to a 3D-model of the stator in Virtual.Lab where the actual displacements of the stator from the applied forces and the generated noise can be computed. The practicality of the automation is demonstrated on modifying the rotor geometrical design for a SynRM that would apply for traction of small electric vehicles. The effect of the stator geometry or winding distribution on acoustic noise can also be analyzed with the model presented in this paper.

Author(s):

Ovidiu Birte    
Technical University of Cluj-Napoca
Romania

Lorand Szabo    
Technical University of Cluj-Napoca
Romania

Claudia Martis    
Technical University of Cluj-Napoca
Romania

Herman Van der Auweraer    
Siemens Industry Software NV
Belgium

Aron Popp    
Technical University of Cluj-Napoca
Romania

Cassio Faria    
Siemens Industry Software NV
Belgium

 

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