Abstract
Switched reluctance machines (SRMs) have been studied by many researchers as an alternative to the other types of electrical machines for use in electric and hybrid vehicle applications. SRMs are fault tolerant and have wide speed operating range. However, they suffer from several disadvantages, including high vibration, acoustic noise, and torque ripple. In this article, the placement of rectangular windows in both the rotor and stator poles is proposed to reduce the vibration and acoustic noise of SRMs. An iterative optimization algorithm in a wide speed range of operation using finite-element analysis (FEA) tools provides the best position and dimension of window design parameters. Multiphysics FEA is also performed to predict the vibration and acoustic noise of the optimized design. The results of this study present that placing windows in both the stator and rotor of the SRMs can significantly reduce the acoustic noise compared with the baseline SRMs. Based on the simulation results, the optimum design has been constructed as a prototype and tested in a wide speed operating condition. The simulation and experimental test validation results prove the effectiveness of the proposed design in mitigating the acoustic noise and vibration.
| Original language | English |
|---|---|
| Article number | 9088263 |
| Pages (from-to) | 3719-3730 |
| Number of pages | 12 |
| Journal | IEEE Transactions on Industry Applications |
| Volume | 56 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 1 Jul 2020 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:© 1972-2012 IEEE.
Funding
Manuscript received July 5, 2019; revised November 6, 2019; accepted December 23, 2019. Date of publication May 5, 2020; date of current version July 1, 2020. Paper 2019-EMC-0611.R1, presented at the 2018 Applied Power Electronic Conference, San Antonio, TX, USA, Mar. 4–8, and approved for publication in the IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS by the Electric Machines Committee of the IEEE Industry Applications Society. This work was supported by US ARMY Ground Vehicle Systems Center. (Corresponding author: Yilmaz Sozer.) Omer Gundogmus, Mohammed Elamin, and Yusuf Yasa are with the The University of Akron, Akron, OH 44325 USA (e-mail: [email protected]; [email protected]; [email protected]).
| Funders | Funder number |
|---|---|
| US ARMY |
Keywords
- Acoustic noise
- noise reduction
- switch reluctance machine (SRM)
- vibration
