Study of suppression of vibration and noise of PMSM for electric vehicles

Li, Xiaohua; Zhang, Lifeng; Hu, Yi; Huang, Surong; Zhang, Qi

doi:10.1049/iet-epa.2019.0805

Cited by 27 publications

(22 citation statements)

References 30 publications

(31 reference statements)

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“…PMSMs, on account of their high efficiency and high power density, are becoming increasingly important in the sectors of manufacturing and transportation. New problems have appeared, such as the electromagnetic noise and vibration in PMSMs [ 1 , 2 , 3 , 4 ]. The noise signature of PMSMs deserves further attention and research in order to improve the comfort of human hearing.…”

Section: Introductionmentioning

confidence: 99%

Damper Winding for Noise and Vibration Reduction of a Permanent Magnet Synchronous Machine

Bauw

Romary

et al. 2022

Sensors

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In this paper, a passive method for the noise reduction of the PMSM (Permanent Magnet Synchronous Machine) is presented. The principle is to add an auxiliary three-phase winding into the same slots as the initial stator winding, short-circuited via three capacitors of suitable values. The aim is to create a damping effect for flux density harmonic components, especially high-frequency harmonics from the PWM (PulseWidth Modulation), in the air gap in order to reduce the noise and vibration of the PMSM. The method can significantly reduce the global sound pressure level and vibrations for specific frequencies. Because of passive features, the additional winding effectively mitigates magnetic noise without greatly increasing the complexity of design and manufacturing, which also extends its applicability to different PMSMs.

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Section: Introductionmentioning

confidence: 99%

Damper Winding for Noise and Vibration Reduction of a Permanent Magnet Synchronous Machine

Bauw

Romary

et al. 2022

Sensors

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show abstract

“…Permanent magnet synchronous motor (PMSM) [1][2][3] is widely used by virtue of its high efficiency and high power density. PMSM is divided into interior permanent magnet synchronous motor (IPMSM) and surface permanent magnet synchronous motor (SPMSM) according to the different installation positions of permanent magnets of the motor.…”

Section: Introductionmentioning

confidence: 99%

Fast Backfire Double Annealing Particle Swarm Optimization Algorithm for Parameter Identification of Permanent Magnet Synchronous Motor

Wen¹,

Shi²,

Liao³

et al. 2021

PIER M

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When particle swarm optimization (PSO) is used to identify the parameters of permanent magnet synchronous motor (PMSM), the movement of particles is not selective, which makes the algorithm easy to fall into the local optimum, and the accuracy is poor. The simulated annealing particle swarm optimization (SAPSO) improves the accuracy and evolution speed, but SAPSO has redundant iteration problems. To solve these problems, a motor parameter identification method based on fast backfire double anneal particle swarm optimization (FBDAPSO) is proposed. By reducing the optimization time and quickly tempering and annealing the "misunderstood" difference, the motor adjustable model and fitness function are designed, and the number of iterations is constantly reset to achieve the effect of online identification. Under different working conditions, simulated and experimental results show that the proposed method can quickly and accurately identify the four parameters of the motor's stator, winding resistance, stator winding d-axis inductance, stator winding q-axis inductance, and permanent magnet flux linkage at the same time, compared with the traditional method of parameter identification, and it has better accuracy, rapidity, and robustness.

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“…The total sound pressure level (SPL) under the rated working condition of PMM is reduced by 2.71 dB . 21 Xiaohua Li et al (2020) studied the 8pole and 48-slot embedded PMM with rated power of 5 kW, and the vibration and noise parameters of PMM were reduced by optimizing the rotor chamfer. Maximum vibration acceleration was decreased by 8.42% .…”

Section: Introductionmentioning

confidence: 99%

“…Maximum vibration acceleration was decreased by 8.42% . 22 In a comprehensive study of stator modal, Xiaoyuan Wang et al (2019) reported that when the aspect ratio of the stator is less than 0.3, the error of modal parameters calculated by the analytical method is larger. When the aspect ratio is in the range of 0.4-1, the error is less than 10% .…”

Section: Introductionmentioning

confidence: 99%

Analysis and design of electromagnetic vibration and noise reduction method of permanent magnet motor

Zhang

2021

Journal of Low Frequency Noise, Vibration and Active Control

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Vibration and noise parameters have a significant influence on the performance of permanent magnet motor (PMM). A new method of reducing vibration and noise of PMM was proposed in this study by optimizing the stator teeth profile. The optimal offset distance was determined by finite element method, and the results indicate that the vibration and noise amplitude become larger when the frequency is an even multiple of the fundamental frequency. The maximum and average vibration acceleration of the optimized PMM is reduced by 22.27% and 11.11%, respectively, and the total sound pressure level (SPL) is decreased by 3.67%. Finally, the correctness of the theoretical parameters was verified by the vibration and noise measuring experiment. The experimental data suggest that the average acceleration error is 7.07%, and the average SPL error is 2.28%. The research methods and conclusions of this study may be extended to the vibration and noise optimization of other PMM.

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Study of suppression of vibration and noise of PMSM for electric vehicles

Cited by 27 publications

References 30 publications

Damper Winding for Noise and Vibration Reduction of a Permanent Magnet Synchronous Machine

Damper Winding for Noise and Vibration Reduction of a Permanent Magnet Synchronous Machine

Fast Backfire Double Annealing Particle Swarm Optimization Algorithm for Parameter Identification of Permanent Magnet Synchronous Motor

Analysis and design of electromagnetic vibration and noise reduction method of permanent magnet motor

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