Loading…
Multi-objective Optimization Design of Variable-Saliency-Ratio PM Motor Considering Driving Cycles
In this article, a variable-saliency-ratio permanent magnet motor is designed and optimized considering driving cycles. To satisfy the demands of multi-operation conditions of EVs, a variable resistance is adopted and a new variable-saliency-ratio design concept is proposed to enhance output torque,...
Saved in:
Published in: | IEEE transactions on industrial electronics (1982) 2021-08, Vol.68 (8), p.6516-6526 |
---|---|
Main Authors: | , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c357t-42275225a3c3bd34bcafd800964212e186111b5b4bb1bf4c7a167d95fdcc79993 |
---|---|
cites | cdi_FETCH-LOGICAL-c357t-42275225a3c3bd34bcafd800964212e186111b5b4bb1bf4c7a167d95fdcc79993 |
container_end_page | 6526 |
container_issue | 8 |
container_start_page | 6516 |
container_title | IEEE transactions on industrial electronics (1982) |
container_volume | 68 |
creator | Zhou, Xue Zhu, Xiaoyong Wu, Wenye Xiang, Zixuan Liu, Yongfeng Quan, Li |
description | In this article, a variable-saliency-ratio permanent magnet motor is designed and optimized considering driving cycles. To satisfy the demands of multi-operation conditions of EVs, a variable resistance is adopted and a new variable-saliency-ratio design concept is proposed to enhance output torque, widen speed range and lower irreversible demagnetization risk effectively. A multiobjective optimization considering driving cycles is proposed, where the design objective of saliency ratio is firstly selected and optimized with multiobjective genetic algorithm method. Then, the operation performances of the motor in different operation conditions are investigated in detail. Finally, a prototype motor is built and tested. Both the simulation and experimental results verify the validity of the proposed method. |
doi_str_mv | 10.1109/TIE.2020.3007106 |
format | article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_crossref_primary_10_1109_TIE_2020_3007106</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>9138754</ieee_id><sourcerecordid>2522214854</sourcerecordid><originalsourceid>FETCH-LOGICAL-c357t-42275225a3c3bd34bcafd800964212e186111b5b4bb1bf4c7a167d95fdcc79993</originalsourceid><addsrcrecordid>eNo9kMFLwzAchYMoOKd3wUvAc2d-adI0R9mmDjYmOr2WJE1HRtfMpBvMv96WDU_v8r334EPoHsgIgMin1Ww6ooSSUUqIAJJdoAFwLhIpWX6JBoSKPCGEZdfoJsYNIcA48AHSi33dusTrjTWtO1i83LVu635V63yDJza6dYN9hb9VcErXNvlUtbONOSYfPYLfF3jhWx_w2DfRlTa4Zo0nwR36HB9NbeMtuqpUHe3dOYfo62W6Gr8l8-XrbPw8T0zKRZswSgWnlKvUpLpMmTaqKnNCZMYoUAt5BgCaa6Y16IoZoSATpeRVaYyQUqZD9Hja3QX_s7exLTZ-H5rusqDdMAWWc9ZR5ESZ4GMMtip2wW1VOBZAit5k0ZksepPF2WRXeThVnLX2H5eQ5qIb_APxI28C</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2522214854</pqid></control><display><type>article</type><title>Multi-objective Optimization Design of Variable-Saliency-Ratio PM Motor Considering Driving Cycles</title><source>IEEE Electronic Library (IEL) Journals</source><creator>Zhou, Xue ; Zhu, Xiaoyong ; Wu, Wenye ; Xiang, Zixuan ; Liu, Yongfeng ; Quan, Li</creator><creatorcontrib>Zhou, Xue ; Zhu, Xiaoyong ; Wu, Wenye ; Xiang, Zixuan ; Liu, Yongfeng ; Quan, Li</creatorcontrib><description>In this article, a variable-saliency-ratio permanent magnet motor is designed and optimized considering driving cycles. To satisfy the demands of multi-operation conditions of EVs, a variable resistance is adopted and a new variable-saliency-ratio design concept is proposed to enhance output torque, widen speed range and lower irreversible demagnetization risk effectively. A multiobjective optimization considering driving cycles is proposed, where the design objective of saliency ratio is firstly selected and optimized with multiobjective genetic algorithm method. Then, the operation performances of the motor in different operation conditions are investigated in detail. Finally, a prototype motor is built and tested. Both the simulation and experimental results verify the validity of the proposed method.</description><identifier>ISSN: 0278-0046</identifier><identifier>EISSN: 1557-9948</identifier><identifier>DOI: 10.1109/TIE.2020.3007106</identifier><identifier>CODEN: ITIED6</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Brushless motors ; Design optimization ; Genetic algorithms ; Inductance ; Magnetic circuits ; multiobjective optimization ; multiple driving cycles ; Multiple objective analysis ; Optimization ; Permanent magnet motor ; Permanent magnet motors ; Permanent magnets ; Reluctance motors ; Saliency ratio ; Torque ; variable-saliency-ratio</subject><ispartof>IEEE transactions on industrial electronics (1982), 2021-08, Vol.68 (8), p.6516-6526</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2021</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c357t-42275225a3c3bd34bcafd800964212e186111b5b4bb1bf4c7a167d95fdcc79993</citedby><cites>FETCH-LOGICAL-c357t-42275225a3c3bd34bcafd800964212e186111b5b4bb1bf4c7a167d95fdcc79993</cites><orcidid>0000-0003-3465-6764 ; 0000-0002-6044-6229 ; 0000-0003-0288-4690 ; 0000-0001-6333-3329 ; 0000-0003-3818-0599</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9138754$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,27923,27924,54795</link.rule.ids></links><search><creatorcontrib>Zhou, Xue</creatorcontrib><creatorcontrib>Zhu, Xiaoyong</creatorcontrib><creatorcontrib>Wu, Wenye</creatorcontrib><creatorcontrib>Xiang, Zixuan</creatorcontrib><creatorcontrib>Liu, Yongfeng</creatorcontrib><creatorcontrib>Quan, Li</creatorcontrib><title>Multi-objective Optimization Design of Variable-Saliency-Ratio PM Motor Considering Driving Cycles</title><title>IEEE transactions on industrial electronics (1982)</title><addtitle>TIE</addtitle><description>In this article, a variable-saliency-ratio permanent magnet motor is designed and optimized considering driving cycles. To satisfy the demands of multi-operation conditions of EVs, a variable resistance is adopted and a new variable-saliency-ratio design concept is proposed to enhance output torque, widen speed range and lower irreversible demagnetization risk effectively. A multiobjective optimization considering driving cycles is proposed, where the design objective of saliency ratio is firstly selected and optimized with multiobjective genetic algorithm method. Then, the operation performances of the motor in different operation conditions are investigated in detail. Finally, a prototype motor is built and tested. Both the simulation and experimental results verify the validity of the proposed method.</description><subject>Brushless motors</subject><subject>Design optimization</subject><subject>Genetic algorithms</subject><subject>Inductance</subject><subject>Magnetic circuits</subject><subject>multiobjective optimization</subject><subject>multiple driving cycles</subject><subject>Multiple objective analysis</subject><subject>Optimization</subject><subject>Permanent magnet motor</subject><subject>Permanent magnet motors</subject><subject>Permanent magnets</subject><subject>Reluctance motors</subject><subject>Saliency ratio</subject><subject>Torque</subject><subject>variable-saliency-ratio</subject><issn>0278-0046</issn><issn>1557-9948</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNo9kMFLwzAchYMoOKd3wUvAc2d-adI0R9mmDjYmOr2WJE1HRtfMpBvMv96WDU_v8r334EPoHsgIgMin1Ww6ooSSUUqIAJJdoAFwLhIpWX6JBoSKPCGEZdfoJsYNIcA48AHSi33dusTrjTWtO1i83LVu635V63yDJza6dYN9hb9VcErXNvlUtbONOSYfPYLfF3jhWx_w2DfRlTa4Zo0nwR36HB9NbeMtuqpUHe3dOYfo62W6Gr8l8-XrbPw8T0zKRZswSgWnlKvUpLpMmTaqKnNCZMYoUAt5BgCaa6Y16IoZoSATpeRVaYyQUqZD9Hja3QX_s7exLTZ-H5rusqDdMAWWc9ZR5ESZ4GMMtip2wW1VOBZAit5k0ZksepPF2WRXeThVnLX2H5eQ5qIb_APxI28C</recordid><startdate>20210801</startdate><enddate>20210801</enddate><creator>Zhou, Xue</creator><creator>Zhu, Xiaoyong</creator><creator>Wu, Wenye</creator><creator>Xiang, Zixuan</creator><creator>Liu, Yongfeng</creator><creator>Quan, Li</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>8FD</scope><scope>L7M</scope><orcidid>https://orcid.org/0000-0003-3465-6764</orcidid><orcidid>https://orcid.org/0000-0002-6044-6229</orcidid><orcidid>https://orcid.org/0000-0003-0288-4690</orcidid><orcidid>https://orcid.org/0000-0001-6333-3329</orcidid><orcidid>https://orcid.org/0000-0003-3818-0599</orcidid></search><sort><creationdate>20210801</creationdate><title>Multi-objective Optimization Design of Variable-Saliency-Ratio PM Motor Considering Driving Cycles</title><author>Zhou, Xue ; Zhu, Xiaoyong ; Wu, Wenye ; Xiang, Zixuan ; Liu, Yongfeng ; Quan, Li</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c357t-42275225a3c3bd34bcafd800964212e186111b5b4bb1bf4c7a167d95fdcc79993</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Brushless motors</topic><topic>Design optimization</topic><topic>Genetic algorithms</topic><topic>Inductance</topic><topic>Magnetic circuits</topic><topic>multiobjective optimization</topic><topic>multiple driving cycles</topic><topic>Multiple objective analysis</topic><topic>Optimization</topic><topic>Permanent magnet motor</topic><topic>Permanent magnet motors</topic><topic>Permanent magnets</topic><topic>Reluctance motors</topic><topic>Saliency ratio</topic><topic>Torque</topic><topic>variable-saliency-ratio</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhou, Xue</creatorcontrib><creatorcontrib>Zhu, Xiaoyong</creatorcontrib><creatorcontrib>Wu, Wenye</creatorcontrib><creatorcontrib>Xiang, Zixuan</creatorcontrib><creatorcontrib>Liu, Yongfeng</creatorcontrib><creatorcontrib>Quan, Li</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE</collection><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>IEEE transactions on industrial electronics (1982)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhou, Xue</au><au>Zhu, Xiaoyong</au><au>Wu, Wenye</au><au>Xiang, Zixuan</au><au>Liu, Yongfeng</au><au>Quan, Li</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Multi-objective Optimization Design of Variable-Saliency-Ratio PM Motor Considering Driving Cycles</atitle><jtitle>IEEE transactions on industrial electronics (1982)</jtitle><stitle>TIE</stitle><date>2021-08-01</date><risdate>2021</risdate><volume>68</volume><issue>8</issue><spage>6516</spage><epage>6526</epage><pages>6516-6526</pages><issn>0278-0046</issn><eissn>1557-9948</eissn><coden>ITIED6</coden><abstract>In this article, a variable-saliency-ratio permanent magnet motor is designed and optimized considering driving cycles. To satisfy the demands of multi-operation conditions of EVs, a variable resistance is adopted and a new variable-saliency-ratio design concept is proposed to enhance output torque, widen speed range and lower irreversible demagnetization risk effectively. A multiobjective optimization considering driving cycles is proposed, where the design objective of saliency ratio is firstly selected and optimized with multiobjective genetic algorithm method. Then, the operation performances of the motor in different operation conditions are investigated in detail. Finally, a prototype motor is built and tested. Both the simulation and experimental results verify the validity of the proposed method.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TIE.2020.3007106</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0003-3465-6764</orcidid><orcidid>https://orcid.org/0000-0002-6044-6229</orcidid><orcidid>https://orcid.org/0000-0003-0288-4690</orcidid><orcidid>https://orcid.org/0000-0001-6333-3329</orcidid><orcidid>https://orcid.org/0000-0003-3818-0599</orcidid></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0278-0046 |
ispartof | IEEE transactions on industrial electronics (1982), 2021-08, Vol.68 (8), p.6516-6526 |
issn | 0278-0046 1557-9948 |
language | eng |
recordid | cdi_crossref_primary_10_1109_TIE_2020_3007106 |
source | IEEE Electronic Library (IEL) Journals |
subjects | Brushless motors Design optimization Genetic algorithms Inductance Magnetic circuits multiobjective optimization multiple driving cycles Multiple objective analysis Optimization Permanent magnet motor Permanent magnet motors Permanent magnets Reluctance motors Saliency ratio Torque variable-saliency-ratio |
title | Multi-objective Optimization Design of Variable-Saliency-Ratio PM Motor Considering Driving Cycles |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-12T23%3A22%3A58IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Multi-objective%20Optimization%20Design%20of%20Variable-Saliency-Ratio%20PM%20Motor%20Considering%20Driving%20Cycles&rft.jtitle=IEEE%20transactions%20on%20industrial%20electronics%20(1982)&rft.au=Zhou,%20Xue&rft.date=2021-08-01&rft.volume=68&rft.issue=8&rft.spage=6516&rft.epage=6526&rft.pages=6516-6526&rft.issn=0278-0046&rft.eissn=1557-9948&rft.coden=ITIED6&rft_id=info:doi/10.1109/TIE.2020.3007106&rft_dat=%3Cproquest_cross%3E2522214854%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c357t-42275225a3c3bd34bcafd800964212e186111b5b4bb1bf4c7a167d95fdcc79993%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2522214854&rft_id=info:pmid/&rft_ieee_id=9138754&rfr_iscdi=true |