Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/146575
Title: Parametric sensitivity analysis and design optimization of an interior permanent magnet synchronous motor
Authors: Chen, Hao
Lee, Christopher Ho Tin
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2019
Source: Chen, H., & Lee, C. H. T. (2019). Parametric sensitivity analysis and design optimization of an interior permanent magnet synchronous motor. IEEE Access, 7, 159918-159929. doi:10.1109/access.2019.2950773
Project: M4082346.040.601001
Journal: IEEE Access
Abstract: Due to the advantages of high torque density, high efficiency, and wide constant power speed range (CPSR), interior permanent magnet synchronous motors (IPMSMs) are gaining more and more attention in electric vehicle (EV) applications. There are many geometrical parameters in IPMSMs, and some of them have significant impact on the performance of such machines. This paper presents a parametric sensitivity study of the rotor geometrical parameters for a V-shaped magnet IPMSM. In which, both the individual sensitivity and the combined sensitivity with considering the interaction effects of these parameters are performed by finite-element analysis (FEA). The electromagnetic characteristics in the low-speed range, including average torque, torque ripple, cogging torque, power density, power factor, efficiency, etc. and the flux-weakening capability in the high-speed range are investigated in detail. Based on the parametric study, the V-shaped magnet IPMSM is optimized. The results show that the performance of the optimal design is significantly improved. In addition, the validity of the FEA simulation results is verified by experiment with a prototype.
URI: https://hdl.handle.net/10356/146575
ISSN: 2169-3536
DOI: 10.1109/ACCESS.2019.2950773
Schools: School of Electrical and Electronic Engineering 
Rights: © 2019 IEEE. This journal is 100% open access, which means that all content is freely available without charge to users or their institutions. All articles accepted after 12 June 2019 are published under a CC BY 4.0 license, and the author retains copyright. Users are allowed to read, download, copy, distribute, print, search, or link to the full texts of the articles, or use them for any other lawful purpose, as long as proper attribution is given.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

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