American Institute of Mathematical Sciences

Vibration noise suppression algorithm of permanent magnet synchronous motor for new energy vehicles

 School of Mechanical Engineering, Hebei University of Technology, Tianjin 300130, China

* Corresponding author: Yong Chen

Received  March 2019 Revised  April 2019 Published  December 2019

Taking the permanent magnet synchronous motor for new energy vehicles as the research object, the causes and mechanisms of electromagnetic vibration noise of fractional-slot permanent magnet synchronous motor are analyzed and summarized. According to the analysis results, a new control strategy-hysteresis current tracking technology is proposed and applied to the three-level voltage source inverter (VSI) to achieve the purpose of suppressing torque ripple and reduce electromagnetic noise of permanent magnet synchronization caused by motor torque fluctuations. On the basis of the above, the band-stop filter method is introduced to quantitatively analyze the influence of controller parameters on the control effect. Based on the theoretical research of harmonic voltage and electromagnetic force, the finite element method is used to study the relationship among the initial phase angle, frequency and amplitude of the electromagnetic force and the injected harmonic voltage of the stator, and optimize the control parameters. The analysis and experimental results show that the error rate curve of the proposed algorithm is closer to the curve without phase noise when the phase noise line width is small. The vibration and noise can be effectively reduced by injecting the corresponding harmonic voltage with the optimization result.

Citation: Zizhen Qiu, Yong Chen, Yuming Guan, Yang Kang. Vibration noise suppression algorithm of permanent magnet synchronous motor for new energy vehicles. Discrete & Continuous Dynamical Systems - S, doi: 10.3934/dcdss.2020209
References:
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References:
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Effect before noise suppression
Effect after noise suppression
Noise test results after rectification of motor
 Test point Background noise's sound pressure $L_{pi}$ Motor noise's sound pressure $L'_{pi}$ Average background noise's sound pressure $L''_{pi}$ Average sound pressure level $L''_p$ Background noise's correction value $K1$ Surface sound pressure level $L'_p$ Sound power level $L_w$ 1 19.3 56.5 19.98 56.72 0 56.72 64.5 2 20.2 55.1 3 21.5 56.4 4 19.2 57.5 5 19.5 57.8
 Test point Background noise's sound pressure $L_{pi}$ Motor noise's sound pressure $L'_{pi}$ Average background noise's sound pressure $L''_{pi}$ Average sound pressure level $L''_p$ Background noise's correction value $K1$ Surface sound pressure level $L'_p$ Sound power level $L_w$ 1 19.3 56.5 19.98 56.72 0 56.72 64.5 2 20.2 55.1 3 21.5 56.4 4 19.2 57.5 5 19.5 57.8
Armature parameter
 Coercive force of the magnet H (KAm) Armature length L (mm) Coil number (N) Coil current I (A) 350 35 32 5
 Coercive force of the magnet H (KAm) Armature length L (mm) Coil number (N) Coil current I (A) 350 35 32 5
Comparison results of operation efficiency of different methods
 Number of experiments/(times) Operational efficiency/(%) AQ BQ CQ 10 99.89 87.89 80.67 20 99.76 85.34 78.36 30 99.46 84.26 87.09 40 99.93 82.89 76.89 50 99.41 80.12 81.34 60 99.34 83.45 85.67
 Number of experiments/(times) Operational efficiency/(%) AQ BQ CQ 10 99.89 87.89 80.67 20 99.76 85.34 78.36 30 99.46 84.26 87.09 40 99.93 82.89 76.89 50 99.41 80.12 81.34 60 99.34 83.45 85.67
Comparison of error rate of different methods
 Methods Error rate/(%) AQ 0.0001 BQ 0.25 CQ 0.14
 Methods Error rate/(%) AQ 0.0001 BQ 0.25 CQ 0.14
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