Performance Enhancement of the IPMSM for HEV Applications Using Grain-Oriented Electrical Steel and Design Optimization
This paper proposes a method for enhancing the performance of an interior permanent magnet synchronous motor (IPMSM) using grain-oriented electrical steel (GO) and design optimization. As the GO has superior magnetic characteristics in the rolling direction, the GO is applied to the stator teeth to...
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| Veröffentlicht in: | IEEE access 2022, Vol.10, p.46599-46607 |
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| creator | Son, Ji-Chang Kim, Ji-Yeon Choi, Jae-Wan Lim, Dong-Kuk Yeo, Han-Kyeol |
| description | This paper proposes a method for enhancing the performance of an interior permanent magnet synchronous motor (IPMSM) using grain-oriented electrical steel (GO) and design optimization. As the GO has superior magnetic characteristics in the rolling direction, the GO is applied to the stator teeth to increase the torque and reduce the iron loss of the IPMSM. However, such an approach leads to higher saturation on the core, resulting in worse pulsation characteristics. To handle with pulsation problem on the IPMSM, design optimization is conducted. In this paper, the interpolation multi-objective robust optimization algorithm (IMROA) was proposed. The IMROA can reduce the calculation time by interpolating the objective region and utilizing a stepwise sampling strategy. Moreover, the IMROA considers the robustness of the found solution and can derive a robust global solution that has robustness on the manufacturing tolerance and deformation during the operation and prevents unexpected results on the IPMSM. |
| doi_str_mv | 10.1109/ACCESS.2022.3170896 |
| format | Article |
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As the GO has superior magnetic characteristics in the rolling direction, the GO is applied to the stator teeth to increase the torque and reduce the iron loss of the IPMSM. However, such an approach leads to higher saturation on the core, resulting in worse pulsation characteristics. To handle with pulsation problem on the IPMSM, design optimization is conducted. In this paper, the interpolation multi-objective robust optimization algorithm (IMROA) was proposed. The IMROA can reduce the calculation time by interpolating the objective region and utilizing a stepwise sampling strategy. Moreover, the IMROA considers the robustness of the found solution and can derive a robust global solution that has robustness on the manufacturing tolerance and deformation during the operation and prevents unexpected results on the IPMSM.</description><identifier>ISSN: 2169-3536</identifier><identifier>EISSN: 2169-3536</identifier><identifier>DOI: 10.1109/ACCESS.2022.3170896</identifier><identifier>CODEN: IAECCG</identifier><language>eng</language><publisher>Piscataway: IEEE</publisher><subject>Algorithms ; Core loss ; Design optimization ; Electrical steels ; grain-oriented electrical steel ; hybrid electric vehicle ; Hybrid electric vehicles ; interior permanent magnet synchronous motor ; Interpolation ; Load modeling ; Magnetic cores ; Magnetic flux ; Magnetic properties ; Multiple objective analysis ; Performance enhancement ; Permanent magnets ; Pulsation ; robustness ; Robustness (mathematics) ; Rolling direction ; Rotors ; surrogate model ; Synchronous motors ; Torque ; Traction motors</subject><ispartof>IEEE access, 2022, Vol.10, p.46599-46607</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2022</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c408t-ada51890f7fe29f80c2a426e600ec8b407571204891b891625955f40c75387243</citedby><cites>FETCH-LOGICAL-c408t-ada51890f7fe29f80c2a426e600ec8b407571204891b891625955f40c75387243</cites><orcidid>0000-0002-9612-263X ; 0000-0003-2385-5565 ; 0000-0002-1392-8794 ; 0000-0002-7959-2656</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9764722$$EHTML$$P50$$Gieee$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,860,2096,4010,27610,27900,27901,27902,54908</link.rule.ids></links><search><creatorcontrib>Son, Ji-Chang</creatorcontrib><creatorcontrib>Kim, Ji-Yeon</creatorcontrib><creatorcontrib>Choi, Jae-Wan</creatorcontrib><creatorcontrib>Lim, Dong-Kuk</creatorcontrib><creatorcontrib>Yeo, Han-Kyeol</creatorcontrib><title>Performance Enhancement of the IPMSM for HEV Applications Using Grain-Oriented Electrical Steel and Design Optimization</title><title>IEEE access</title><addtitle>Access</addtitle><description>This paper proposes a method for enhancing the performance of an interior permanent magnet synchronous motor (IPMSM) using grain-oriented electrical steel (GO) and design optimization. As the GO has superior magnetic characteristics in the rolling direction, the GO is applied to the stator teeth to increase the torque and reduce the iron loss of the IPMSM. However, such an approach leads to higher saturation on the core, resulting in worse pulsation characteristics. To handle with pulsation problem on the IPMSM, design optimization is conducted. In this paper, the interpolation multi-objective robust optimization algorithm (IMROA) was proposed. The IMROA can reduce the calculation time by interpolating the objective region and utilizing a stepwise sampling strategy. Moreover, the IMROA considers the robustness of the found solution and can derive a robust global solution that has robustness on the manufacturing tolerance and deformation during the operation and prevents unexpected results on the IPMSM.</description><subject>Algorithms</subject><subject>Core loss</subject><subject>Design optimization</subject><subject>Electrical steels</subject><subject>grain-oriented electrical steel</subject><subject>hybrid electric vehicle</subject><subject>Hybrid electric vehicles</subject><subject>interior permanent magnet synchronous motor</subject><subject>Interpolation</subject><subject>Load modeling</subject><subject>Magnetic cores</subject><subject>Magnetic flux</subject><subject>Magnetic properties</subject><subject>Multiple objective analysis</subject><subject>Performance enhancement</subject><subject>Permanent magnets</subject><subject>Pulsation</subject><subject>robustness</subject><subject>Robustness (mathematics)</subject><subject>Rolling direction</subject><subject>Rotors</subject><subject>surrogate model</subject><subject>Synchronous motors</subject><subject>Torque</subject><subject>Traction motors</subject><issn>2169-3536</issn><issn>2169-3536</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>ESBDL</sourceid><sourceid>RIE</sourceid><sourceid>DOA</sourceid><recordid>eNpNkVtrGzEQhZeSQkOaX5AXQZ_X0f3yaNxtYkhwwE1fhSzNOjLr1Va7oSS_PnI2hArEaIbzHQ2cqroieEEINtfL1arZbhcUU7pgRGFt5JfqnBJpaiaYPPvv_a26HMcDLkeXkVDn1b8HyG3KR9d7QE3_dKpH6CeUWjQ9AVo_3G_vUVGg2-YPWg5DF72bYupH9DjGfo9usot9vcmxQBBQ04GfctF0aDsBdMj1Af2EMe57tBmmeIyv7_j36mvruhEuP-pF9fir-b26re82N-vV8q72HOupdsEJog1uVQvUtBp76jiVIDEGr3ccK6EIxVwbsitXUmGEaDn2SjCtKGcX1Xr2Dckd7JDj0eUXm1y074OU99blKfoO7A5kwIozABo4-HDqNfNEwc77EETx-jF7DTn9fYZxsof0nPuyvqVSYiKMYqao2KzyOY1jhvbzV4LtKTA7B2ZPgdmPwAp1NVMRAD4JoyRXlLI3MZmROw</recordid><startdate>2022</startdate><enddate>2022</enddate><creator>Son, Ji-Chang</creator><creator>Kim, Ji-Yeon</creator><creator>Choi, Jae-Wan</creator><creator>Lim, Dong-Kuk</creator><creator>Yeo, Han-Kyeol</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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As the GO has superior magnetic characteristics in the rolling direction, the GO is applied to the stator teeth to increase the torque and reduce the iron loss of the IPMSM. However, such an approach leads to higher saturation on the core, resulting in worse pulsation characteristics. To handle with pulsation problem on the IPMSM, design optimization is conducted. In this paper, the interpolation multi-objective robust optimization algorithm (IMROA) was proposed. The IMROA can reduce the calculation time by interpolating the objective region and utilizing a stepwise sampling strategy. Moreover, the IMROA considers the robustness of the found solution and can derive a robust global solution that has robustness on the manufacturing tolerance and deformation during the operation and prevents unexpected results on the IPMSM.</abstract><cop>Piscataway</cop><pub>IEEE</pub><doi>10.1109/ACCESS.2022.3170896</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0002-9612-263X</orcidid><orcidid>https://orcid.org/0000-0003-2385-5565</orcidid><orcidid>https://orcid.org/0000-0002-1392-8794</orcidid><orcidid>https://orcid.org/0000-0002-7959-2656</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Algorithms Core loss Design optimization Electrical steels grain-oriented electrical steel hybrid electric vehicle Hybrid electric vehicles interior permanent magnet synchronous motor Interpolation Load modeling Magnetic cores Magnetic flux Magnetic properties Multiple objective analysis Performance enhancement Permanent magnets Pulsation robustness Robustness (mathematics) Rolling direction Rotors surrogate model Synchronous motors Torque Traction motors |
| title | Performance Enhancement of the IPMSM for HEV Applications Using Grain-Oriented Electrical Steel and Design Optimization |
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