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http://dx.doi.org/10.5370/KIEE.2017.66.12.1895

FEA-based Torque Ripple and Noise Reduction of DC Motor for Automotive Air-Conditioning  

Hwang, Myeonghwan (Automative Components R&D Group, Korea Industrial Technology)
Kim, Donghyeon (Automative Components R&D Group, Korea Industrial Technology)
Yang, Seungjin (Automative Components R&D Group, Korea Industrial Technology)
Cha, Hyunrok (Automative Components R&D Group, Korea Industrial Technology)
Han, Jongho (Automative Components R&D Group, Korea Industrial Technology)
Publication Information
The Transactions of The Korean Institute of Electrical Engineers / v.66, no.12, 2017 , pp. 1895-1898 More about this Journal
Abstract
This paper discusses methods for the torque ripple and noise reduction of DC motors for automotive air-conditioning based on electromagnetic field analysis. The target of the motor is a blower motor, and to reduce cogging torque and the torque ripple, the optimum model was selected by deforming the brush or commutator shape. In addition, to reduce the cogging torque, the model design was carried out by applying the skew method and the magnetization method of a magnet to the rotor. For optimization, the shape, material, and drive system of the motor were selected using an electromagnetic field as the analysis tool, and the method of reducing the cogging torque was applied to 4-pole, 12- and 13-slot motors considering the mechanical part. Lastly, this paper confirmed thatthemethod, which proposed how much noise, cogging torque, and vibration are reduced, improves through practical analysis.
Keywords
DC motor; Torque ripple; Cogging Torque; Skew method;
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