Acoustic noise reduction of a high efficiency switched reluctance motor for hybrid electric vehicles with novel current waveform

Kawa, Masachika; Kiyota, Kyohei; Furqani, Jihad; Chibá, Akira

doi:10.1109/iemdc.2017.8002137

Cited by 12 publications

(6 citation statements)

References 9 publications

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“…In four-phase and five-phase SRMs, the radial force sum flattening reduces the amplitudes at multiples of the 4 th and 5 th harmonics of the radial forces, respectively. Method 2 is effective in three-phase SRMs with high-polenumber configurations, such as 36/24 SRMs [15] - [18],18/12 SRMs [19] - [23], and 24/16 SRM [27]. These motors have the main acoustic noise caused by vibrations in spatial mode 0 at multiples of the 3 rd harmonic.…”

Section: Principles Of the Radial Force Sum Flattening And Selective ...mentioning

confidence: 99%

Vibration and Acoustic Noise Reduction in Switched Reluctance Motor by Selective Radial Force Harmonics Reduction

Wiguna

Cai

Lilian

et al. 2023

IEEE Open J. Ind. Applicat.

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This paper presents a novel method for vibration and acoustic noise reduction in a three-phase 6/10 switched reluctance motor. The test machine has major vibration and acoustic noise at the 2 nd , 4 th , 5 th , 7 th , and 8 th harmonics. Accordingly, a novel method called "selective radial force harmonic reduction" is proposed. The proposed method selectively reduces the specific radial force harmonics at the stator teeth. By reducing the specific radial force harmonics such as 2 nd , 4 th , 5 th , 7 th , and 8 th , the corresponding vibration and acoustic noise can be reduced significantly in the test machine. In this study, a current calculation for the proposed method is introduced. In addition, finite element analysis and experiments are conducted to verify the effectiveness of the proposed method. Compared with a conventional square current, the experimental results show that the overall sound pressure level is reduced by 7.1 dBA using the proposed method at the rated speed and torque. The dynamic conditions of the test machine using the proposed method are also presented. As a result, the proposed method is effective in reducing vibration and acoustic noise in the three-phase 6/10 switched reluctance motor.

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Section: Principles Of the Radial Force Sum Flattening And Selective ...mentioning

confidence: 99%

Vibration and Acoustic Noise Reduction in Switched Reluctance Motor by Selective Radial Force Harmonics Reduction

Wiguna

Cai

Lilian

et al. 2023

IEEE Open J. Ind. Applicat.

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“…The material properties are defined for the stator steel and coil. As the stator is mounted on the shaft, the boundary conditions at the stationary shaft are assumed as zero (Lin and Fahimi, 2013; Kawa et al , 2019). The procedure for modal analysis using ANSYS software is shown in Figure 12.…”

Section: Vibration Analysismentioning

confidence: 99%

“…A controller to reduce the difference in the voltage for minimizing the vibration in the motor is proposed in that paper. The vibration and acoustic noise can be minimized by using the two-stage commutation method, and the voltage smoothening method is discussed in Kawa et al (2019), which reduces the rate of change of radial forces. The factors considered during design processes for reducing the vibration owing to natural frequencies in the SRM are discussed by Colby et al (1995).…”

Section: Introductionmentioning

confidence: 99%

Performance investigation of doubly salient outer rotor switched reluctance motor using finite element analysis

Sivasamy¹,

Maria

Sundaramoorthy³

2021

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Purpose The automotive industry extensively uses switched reluctance motors (SRM) because of their excellent performance. The main purpose of this article is to investigate the design of a particular type of SRM called doubly salient outer rotor switched reluctance motor (DSORSRM) for electric vehicle application in this paper. Design/methodology/approach Different configurations of DSORSRM motor such as long flux path SRM, reduced flux path mutually coupled SRM and short flux path SRM (SF-SRM) are considered for investigation. The best configuration based on average torque is selected for further investigation by conducting an electromagnetic analysis. Also, in the proposed design, laminating material with low iron loss and superior performance characteristics is selected by doing electromagnetic analysis for SRM with M19, M660-50D, M-19 and M800-100A non-oriented laminating core material. Because vibrations are produced in DSORSRM devices as a result of changing induction, a mechanical analysis was performed to estimate the natural frequencies of vibration and the amplitudes that may lead to acoustic noises. Findings SF-SRM configuration with three-phase, 12/10, 250 W, 48 V, 1,000 rpm is selected with the impact in the elimination of flux reversals and also has various salient features such as singly excited, no rotor windings, no permanent magnet, pure in construction and high starting torque. Still, this SRM suffers from vibration owing to changing induction. In lamination material selection, M19 is chosen as optimized material to obtain vibration reduction. Vibration analysis was performed for the optimized 12/10 SF-SRM with M19 lamination material, and the corresponding modes for the machine to operate with reduced vibration are analyzed. The current and speed characteristics of the prototype model for the DSORSRM motor are obtained and validated with finite element analysis (FEA) results. Originality/value The performed FEA result shows that the proposed DSORSRM with short flux path configuration produces a high average torque of 1.915 N m. The M19 lamination material gives a minimum iron loss of 9.056 W. The modal frequencies are estimated and validated with numerical equations.

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“…However, the mainly shortcoming is large torque ripple due to its pulse power supply mode and multi‐phase commutation, which restricts its application [4–6]. Recently, scholars have proposed many strategies to decrease torque ripple [7–10].…”

Section: Introductionmentioning

confidence: 99%

Minimization of torque ripple in switched reluctance motor based on MPC and TSF

Ren

Zhu

Jing

et al. 2021

IEEJ Transactions Elec Engng

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In this paper, a novel control method based on model predictive control (MPC) and torque sharing function (TSF) is addressed to minimize the torque ripple of switched reluctance motor (SRM). Firstly, an accurate SRM model is established based on flux‐linkage characteristic curves obtained from the locked rotor test, which can predict the future operation state of the SRM drive system. Secondly, an improved TSF curve is proposed, and genetic algorithm is used to optimize TSF parameters to reduce torque ripple in commutation region. Besides, the MPC is integrated into the TSF control framework to replace the traditional hysteresis controller, and establishes a new TSF‐based model predicted torque control (MPTC) method, which avoids the frequency conversion problem caused by torque or current hysteresis controller. Further, a sector division scheme is addressed to decrease the number of candidate voltage states, whereby the computation of the controller in each sampling period is effectively reduced. Finally, in order to verify the correctness of the MPTC method, it is compared with the traditional direct instantaneous torque control (DITC). Both simulations and experiments on a three‐phase 12/8 pole SRM have confirmed that MPTC scheme can not only decreases torque ripple and stator copper losses, but also has higher efficiency than DITC. © 2021 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC.

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Acoustic noise reduction of a high efficiency switched reluctance motor for hybrid electric vehicles with novel current waveform

Cited by 12 publications

References 9 publications

Vibration and Acoustic Noise Reduction in Switched Reluctance Motor by Selective Radial Force Harmonics Reduction

Vibration and Acoustic Noise Reduction in Switched Reluctance Motor by Selective Radial Force Harmonics Reduction

Performance investigation of doubly salient outer rotor switched reluctance motor using finite element analysis

Minimization of torque ripple in switched reluctance motor based on MPC and TSF

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