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Research on a Stepwise Optimization Design of a Flywheel Motor Based on AKMMP
Flywheel motor topology was analyzed, and a main performance optimization model and stator/rotor core loss optimization model were provided. Then, an adaptive kriging surrogate model based on the MaxPro design (AKMMP) was used, improving the optimization precision and efficiency. Based on these prel...
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Published in: | IEEE access 2019, Vol.7, p.34462-34476 |
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creator | Bu, Jianguo Lan, Xudong Zhou, Ming Lv, Kaixiong |
description | Flywheel motor topology was analyzed, and a main performance optimization model and stator/rotor core loss optimization model were provided. Then, an adaptive kriging surrogate model based on the MaxPro design (AKMMP) was used, improving the optimization precision and efficiency. Based on these preliminary outcomes, a stepwise optimization design method of flywheel motor based on AKMMP was proposed. The brief design process includes five steps: 1) initial structure of the flywheel motor: outer rotor, 16 poles/18 slots, double layer concentrated winding, inclined shoulder flat bottom slot, water cooling, and F grade insulation; 2) first step optimization: performance optimization using AKMMP to obtain the performance Pareto solution set; 3) according to the performance of a flywheel motor, selection of the suitable case from the performance Pareto solution set; 4) second step optimization: further optimization of the stator/rotor core loss for the case obtained before using AKMMP, and; 5) creation of the final optimization design structure. Then, complete the flywheel motor design by the stepwise optimization design method. Finally, the prototype of the flywheel motor was produced, and performance testing was performed. |
doi_str_mv | 10.1109/ACCESS.2019.2904179 |
format | article |
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Then, an adaptive kriging surrogate model based on the MaxPro design (AKMMP) was used, improving the optimization precision and efficiency. Based on these preliminary outcomes, a stepwise optimization design method of flywheel motor based on AKMMP was proposed. The brief design process includes five steps: 1) initial structure of the flywheel motor: outer rotor, 16 poles/18 slots, double layer concentrated winding, inclined shoulder flat bottom slot, water cooling, and F grade insulation; 2) first step optimization: performance optimization using AKMMP to obtain the performance Pareto solution set; 3) according to the performance of a flywheel motor, selection of the suitable case from the performance Pareto solution set; 4) second step optimization: further optimization of the stator/rotor core loss for the case obtained before using AKMMP, and; 5) creation of the final optimization design structure. Then, complete the flywheel motor design by the stepwise optimization design method. Finally, the prototype of the flywheel motor was produced, and performance testing was performed.</description><identifier>ISSN: 2169-3536</identifier><identifier>EISSN: 2169-3536</identifier><identifier>DOI: 10.1109/ACCESS.2019.2904179</identifier><identifier>CODEN: IAECCG</identifier><language>eng</language><publisher>Piscataway: IEEE</publisher><subject>AKMMP ; Core loss ; Design optimization ; Design techniques ; flywheel motor ; Flywheels ; Insulation ; Liquid cooling ; Magnetic circuits ; non-dominated sorting genetic algorithm (NSGA-2) ; Optimization ; optimization design ; Permanent magnet motors ; Rotors ; Stators ; Topology ; Windings</subject><ispartof>IEEE access, 2019, Vol.7, p.34462-34476</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. 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Then, an adaptive kriging surrogate model based on the MaxPro design (AKMMP) was used, improving the optimization precision and efficiency. Based on these preliminary outcomes, a stepwise optimization design method of flywheel motor based on AKMMP was proposed. The brief design process includes five steps: 1) initial structure of the flywheel motor: outer rotor, 16 poles/18 slots, double layer concentrated winding, inclined shoulder flat bottom slot, water cooling, and F grade insulation; 2) first step optimization: performance optimization using AKMMP to obtain the performance Pareto solution set; 3) according to the performance of a flywheel motor, selection of the suitable case from the performance Pareto solution set; 4) second step optimization: further optimization of the stator/rotor core loss for the case obtained before using AKMMP, and; 5) creation of the final optimization design structure. Then, complete the flywheel motor design by the stepwise optimization design method. Finally, the prototype of the flywheel motor was produced, and performance testing was performed.</description><subject>AKMMP</subject><subject>Core loss</subject><subject>Design optimization</subject><subject>Design techniques</subject><subject>flywheel motor</subject><subject>Flywheels</subject><subject>Insulation</subject><subject>Liquid cooling</subject><subject>Magnetic circuits</subject><subject>non-dominated sorting genetic algorithm (NSGA-2)</subject><subject>Optimization</subject><subject>optimization design</subject><subject>Permanent magnet motors</subject><subject>Rotors</subject><subject>Stators</subject><subject>Topology</subject><subject>Windings</subject><issn>2169-3536</issn><issn>2169-3536</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>ESBDL</sourceid><sourceid>DOA</sourceid><recordid>eNpNUU1LAzEQXUTBov4CLwueW_O9ybHWr2KLYvUckuxEU9qmJiuiv97UFXEuM_N4783Aq6pTjEYYI3U-nkyuFosRQViNiEIMN2qvGhAs1JByKvb_zYfVSc5LVEoWiDeDav4IGUxyr3Xc1KZedLD9CBnq-20X1uHLdKHgl5DDy6aOvjCuV58frwCreh67mOoLk6Hdacd38_nDcXXgzSrDyW8_qp6vr54mt8PZ_c10Mp4NHUOyGyrVEM-ok9LzxnoJXllLLSHY-xYx54myQnBwjoNV1AtXdkwZZxiBbz09qqa9bxvNUm9TWJv0qaMJ-geI6UWb1AW3As2ttRxwIxxrWAONaqXgxHEJgglFSPE66722Kb69Q-70Mr6nTXlfE8a5oARRWVi0Z7kUc07g_65ipHcx6D4GvYtB_8ZQVKe9KgDAn0IKwTCn9Bti8IHG</recordid><startdate>2019</startdate><enddate>2019</enddate><creator>Bu, Jianguo</creator><creator>Lan, Xudong</creator><creator>Zhou, Ming</creator><creator>Lv, Kaixiong</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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Then, an adaptive kriging surrogate model based on the MaxPro design (AKMMP) was used, improving the optimization precision and efficiency. Based on these preliminary outcomes, a stepwise optimization design method of flywheel motor based on AKMMP was proposed. The brief design process includes five steps: 1) initial structure of the flywheel motor: outer rotor, 16 poles/18 slots, double layer concentrated winding, inclined shoulder flat bottom slot, water cooling, and F grade insulation; 2) first step optimization: performance optimization using AKMMP to obtain the performance Pareto solution set; 3) according to the performance of a flywheel motor, selection of the suitable case from the performance Pareto solution set; 4) second step optimization: further optimization of the stator/rotor core loss for the case obtained before using AKMMP, and; 5) creation of the final optimization design structure. Then, complete the flywheel motor design by the stepwise optimization design method. Finally, the prototype of the flywheel motor was produced, and performance testing was performed.</abstract><cop>Piscataway</cop><pub>IEEE</pub><doi>10.1109/ACCESS.2019.2904179</doi><tpages>15</tpages><orcidid>https://orcid.org/0000-0002-1389-2023</orcidid><orcidid>https://orcid.org/0000-0002-6826-0074</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | AKMMP Core loss Design optimization Design techniques flywheel motor Flywheels Insulation Liquid cooling Magnetic circuits non-dominated sorting genetic algorithm (NSGA-2) Optimization optimization design Permanent magnet motors Rotors Stators Topology Windings |
title | Research on a Stepwise Optimization Design of a Flywheel Motor Based on AKMMP |
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