Optimal Design of Saturated Switched Reluctance Machine for Low Speed Electric Vehicles by Subset Quasi-Orthogonal Algorithm
This paper investigates the optimal design method of switched reluctance machines (SRMs) for mitigating torque ripple and improving average torque under the low speed operation. In order to produce high torque for hill climbing or overload start-up of micro electric vehicles (EVs) and reduce the con...
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IEEE
2019-01-01
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Series: | IEEE Access |
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Online Access: | https://ieeexplore.ieee.org/document/8764419/ |
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author | Xiupeng Cui Jianbo Sun Chun Gan Chenglin Gu Zhiwei Zhang |
author_facet | Xiupeng Cui Jianbo Sun Chun Gan Chenglin Gu Zhiwei Zhang |
author_sort | Xiupeng Cui |
collection | DOAJ |
description | This paper investigates the optimal design method of switched reluctance machines (SRMs) for mitigating torque ripple and improving average torque under the low speed operation. In order to produce high torque for hill climbing or overload start-up of micro electric vehicles (EVs) and reduce the converter capacity, an SRM with four times torque overload capability and two times speed range with constant power is needed. To improve the SRM performance, first, a new method called multiphase excitation (MPE) method for calculating resultant static torque is adopted, which takes the cross-coupling and magnetic saturation into consideration to reduce the calculation error bought by the traditional method called single-phase excitation (SPE) method; second, optimal methods, including parameters sensitivity analysis, multi-objective optimization function, and winding connection types, have been taken to release the magnetic saturation, to improve average torque, and to depress torque ripple. Compared with the initial scheme, the torque ripple is minimized from 55.33% to 14.84% and the average torque is improved by 8.36%. The experimental results validate the effectiveness of the proposed methods. |
first_indexed | 2024-12-20T08:35:10Z |
format | Article |
id | doaj.art-2b733c1725ae483d9c8a2b910ded831a |
institution | Directory Open Access Journal |
issn | 2169-3536 |
language | English |
last_indexed | 2024-12-20T08:35:10Z |
publishDate | 2019-01-01 |
publisher | IEEE |
record_format | Article |
series | IEEE Access |
spelling | doaj.art-2b733c1725ae483d9c8a2b910ded831a2022-12-21T19:46:35ZengIEEEIEEE Access2169-35362019-01-01710108610109510.1109/ACCESS.2019.29291038764419Optimal Design of Saturated Switched Reluctance Machine for Low Speed Electric Vehicles by Subset Quasi-Orthogonal AlgorithmXiupeng Cui0Jianbo Sun1https://orcid.org/0000-0002-9806-711XChun Gan2https://orcid.org/0000-0002-7563-7415Chenglin Gu3Zhiwei Zhang4State Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan, ChinaState Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan, ChinaState Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan, ChinaState Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan, ChinaDepartment of Electrical and Computer Engineering, The Ohio State University, Columbus, OH, USAThis paper investigates the optimal design method of switched reluctance machines (SRMs) for mitigating torque ripple and improving average torque under the low speed operation. In order to produce high torque for hill climbing or overload start-up of micro electric vehicles (EVs) and reduce the converter capacity, an SRM with four times torque overload capability and two times speed range with constant power is needed. To improve the SRM performance, first, a new method called multiphase excitation (MPE) method for calculating resultant static torque is adopted, which takes the cross-coupling and magnetic saturation into consideration to reduce the calculation error bought by the traditional method called single-phase excitation (SPE) method; second, optimal methods, including parameters sensitivity analysis, multi-objective optimization function, and winding connection types, have been taken to release the magnetic saturation, to improve average torque, and to depress torque ripple. Compared with the initial scheme, the torque ripple is minimized from 55.33% to 14.84% and the average torque is improved by 8.36%. The experimental results validate the effectiveness of the proposed methods.https://ieeexplore.ieee.org/document/8764419/Torque ripplecross-coupling and magnetic saturationstatic resultant torqueswitched reluctance machine (SRM) |
spellingShingle | Xiupeng Cui Jianbo Sun Chun Gan Chenglin Gu Zhiwei Zhang Optimal Design of Saturated Switched Reluctance Machine for Low Speed Electric Vehicles by Subset Quasi-Orthogonal Algorithm IEEE Access Torque ripple cross-coupling and magnetic saturation static resultant torque switched reluctance machine (SRM) |
title | Optimal Design of Saturated Switched Reluctance Machine for Low Speed Electric Vehicles by Subset Quasi-Orthogonal Algorithm |
title_full | Optimal Design of Saturated Switched Reluctance Machine for Low Speed Electric Vehicles by Subset Quasi-Orthogonal Algorithm |
title_fullStr | Optimal Design of Saturated Switched Reluctance Machine for Low Speed Electric Vehicles by Subset Quasi-Orthogonal Algorithm |
title_full_unstemmed | Optimal Design of Saturated Switched Reluctance Machine for Low Speed Electric Vehicles by Subset Quasi-Orthogonal Algorithm |
title_short | Optimal Design of Saturated Switched Reluctance Machine for Low Speed Electric Vehicles by Subset Quasi-Orthogonal Algorithm |
title_sort | optimal design of saturated switched reluctance machine for low speed electric vehicles by subset quasi orthogonal algorithm |
topic | Torque ripple cross-coupling and magnetic saturation static resultant torque switched reluctance machine (SRM) |
url | https://ieeexplore.ieee.org/document/8764419/ |
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