A Study on Optimization of Noise Reduction of Powered Vehicle Seat Movement Using Brushless Direct-Current Motor
In this paper, an optimal design model was developed to reduce noise and secure the torque performance of a brushless direct-current motor used in the seat of an autonomous vehicle. An acoustic model using finite elements was developed and verified through the noise test of the brushless direct-curr...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-02-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/23/5/2483 |
| _version_ | 1797614358175416320 |
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| author | Hyunju Lee Dongshin Ko Jaehyeon Nam |
| author_facet | Hyunju Lee Dongshin Ko Jaehyeon Nam |
| author_sort | Hyunju Lee |
| collection | DOAJ |
| description | In this paper, an optimal design model was developed to reduce noise and secure the torque performance of a brushless direct-current motor used in the seat of an autonomous vehicle. An acoustic model using finite elements was developed and verified through the noise test of the brushless direct-current motor. In order to reduce noise in the brushless direct-current motor and obtain a reliable optimization geometry of noiseless seat motion, parametric analysis was performed through the design of experiments and Monte Carlo statistical analysis. The slot depth, stator tooth width, slot opening, radial depth, and undercut angle of the brushless direct-current motor were selected as design parameters for design parameter analysis. Then, a non-linear prediction model was used to determine the optimal slot depth and stator tooth width to maintain the drive torque and minimize the sound pressure level at 23.26 dB or lower. The Monte Carlo statistical method was used to minimize the deviation of the sound pressure level caused by the production deviation of the design parameters. The result is that the SPL was 23.00–23.50 dB with a confidence level of approximately 99.76% when the level of production quality control was set at 3σ. |
| first_indexed | 2024-03-11T07:10:18Z |
| format | Article |
| id | doaj.art-4dc82cd34eea410cb4619ce1285f543b |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-11T07:10:18Z |
| publishDate | 2023-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-4dc82cd34eea410cb4619ce1285f543b2023-11-17T08:35:24ZengMDPI AGSensors1424-82202023-02-01235248310.3390/s23052483A Study on Optimization of Noise Reduction of Powered Vehicle Seat Movement Using Brushless Direct-Current MotorHyunju Lee0Dongshin Ko1Jaehyeon Nam2AI & Mechanical System Center, Institute for Advanced Engineering, Youngin-si 17180, Republic of KoreaAI & Mechanical System Center, Institute for Advanced Engineering, Youngin-si 17180, Republic of KoreaAI & Mechanical System Center, Institute for Advanced Engineering, Youngin-si 17180, Republic of KoreaIn this paper, an optimal design model was developed to reduce noise and secure the torque performance of a brushless direct-current motor used in the seat of an autonomous vehicle. An acoustic model using finite elements was developed and verified through the noise test of the brushless direct-current motor. In order to reduce noise in the brushless direct-current motor and obtain a reliable optimization geometry of noiseless seat motion, parametric analysis was performed through the design of experiments and Monte Carlo statistical analysis. The slot depth, stator tooth width, slot opening, radial depth, and undercut angle of the brushless direct-current motor were selected as design parameters for design parameter analysis. Then, a non-linear prediction model was used to determine the optimal slot depth and stator tooth width to maintain the drive torque and minimize the sound pressure level at 23.26 dB or lower. The Monte Carlo statistical method was used to minimize the deviation of the sound pressure level caused by the production deviation of the design parameters. The result is that the SPL was 23.00–23.50 dB with a confidence level of approximately 99.76% when the level of production quality control was set at 3σ.https://www.mdpi.com/1424-8220/23/5/2483design of experimentMonte Carlo simulationrobust designoptimizationnoise reduction |
| spellingShingle | Hyunju Lee Dongshin Ko Jaehyeon Nam A Study on Optimization of Noise Reduction of Powered Vehicle Seat Movement Using Brushless Direct-Current Motor Sensors design of experiment Monte Carlo simulation robust design optimization noise reduction |
| title | A Study on Optimization of Noise Reduction of Powered Vehicle Seat Movement Using Brushless Direct-Current Motor |
| title_full | A Study on Optimization of Noise Reduction of Powered Vehicle Seat Movement Using Brushless Direct-Current Motor |
| title_fullStr | A Study on Optimization of Noise Reduction of Powered Vehicle Seat Movement Using Brushless Direct-Current Motor |
| title_full_unstemmed | A Study on Optimization of Noise Reduction of Powered Vehicle Seat Movement Using Brushless Direct-Current Motor |
| title_short | A Study on Optimization of Noise Reduction of Powered Vehicle Seat Movement Using Brushless Direct-Current Motor |
| title_sort | study on optimization of noise reduction of powered vehicle seat movement using brushless direct current motor |
| topic | design of experiment Monte Carlo simulation robust design optimization noise reduction |
| url | https://www.mdpi.com/1424-8220/23/5/2483 |
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