Multi-objective optimization of a flux switching wound field machine using a response surface-based multi-level design approach
This study introduces a novel multilevel design optimization approach for enhancing the performance of brushless flux-switching wound-field machines (FSWFMs) in electric vehicles (EVs) and industrial drives. The proposed methodology targets key performance metrics namely, high torque, efficiency, po...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-03-01
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| Series: | Results in Engineering |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590123025000763 |
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| author | Chiweta E. Abunike Milad Dowlatshahi Aliakbar Jamshidi Far Ogbonnaya I. Okoro Sumeet S. Aphale |
| author_facet | Chiweta E. Abunike Milad Dowlatshahi Aliakbar Jamshidi Far Ogbonnaya I. Okoro Sumeet S. Aphale |
| author_sort | Chiweta E. Abunike |
| collection | DOAJ |
| description | This study introduces a novel multilevel design optimization approach for enhancing the performance of brushless flux-switching wound-field machines (FSWFMs) in electric vehicles (EVs) and industrial drives. The proposed methodology targets key performance metrics namely, high torque, efficiency, power factor, and low torque ripple through a structured sensitivity analysis categorized into non-sensitive, mild-sensitive, and strong-sensitive levels. Using the Response Surface Method (RSM), Min-Max Search, and Multi-Objective Genetic Algorithms (MOGA), the Response Surface Multi-Level Optimization (RSMLO) method effectively harmonizes these competing objectives. The optimization process resulted in an 11% increase in average torque and a 69.06% reduction in torque ripple, demonstrating significant performance gains. These results underscore the potential of the RSMLO method as a robust tool for the advanced design of electric machines, offering substantial improvements in both performance and efficiency, and positioning it as a critical framework for future EV and industrial drive applications. |
| format | Article |
| id | doaj-art-d885a3bfd3624574bcdafffbac41d22e |
| institution | Kabale University |
| issn | 2590-1230 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Results in Engineering |
| spelling | doaj-art-d885a3bfd3624574bcdafffbac41d22e2025-01-15T04:11:51ZengElsevierResults in Engineering2590-12302025-03-0125103988Multi-objective optimization of a flux switching wound field machine using a response surface-based multi-level design approachChiweta E. Abunike0Milad Dowlatshahi1Aliakbar Jamshidi Far2Ogbonnaya I. Okoro3Sumeet S. Aphale4School of Engineering, University of Aberdeen, AB24 3UE Aberdeen, United Kingdom; Department of Electrical/Electronic Engineering, Michael Okpara University of Agriculture, Umudike 440101, Abia State, NigeriaSchool of Engineering, University of Aberdeen, AB24 3UE Aberdeen, United KingdomSchool of Engineering, University of Aberdeen, AB24 3UE Aberdeen, United Kingdom; Aberdeen HVDC Centre, School of Engineering, University of Aberdeen, AB24 3UE Aberdeen, United KingdomDepartment of Electrical/Electronic Engineering, Michael Okpara University of Agriculture, Umudike 440101, Abia State, NigeriaSchool of Engineering, University of Aberdeen, AB24 3UE Aberdeen, United Kingdom; Artificial intelligence, Robotics and Mechatronic Systems Group, School of Engineering, University of Aberdeen, AB24 3UE Aberdeen, United Kingdom; Corresponding author at: School of Engineering, University of Aberdeen, AB24 3UE Aberdeen, United Kingdom.This study introduces a novel multilevel design optimization approach for enhancing the performance of brushless flux-switching wound-field machines (FSWFMs) in electric vehicles (EVs) and industrial drives. The proposed methodology targets key performance metrics namely, high torque, efficiency, power factor, and low torque ripple through a structured sensitivity analysis categorized into non-sensitive, mild-sensitive, and strong-sensitive levels. Using the Response Surface Method (RSM), Min-Max Search, and Multi-Objective Genetic Algorithms (MOGA), the Response Surface Multi-Level Optimization (RSMLO) method effectively harmonizes these competing objectives. The optimization process resulted in an 11% increase in average torque and a 69.06% reduction in torque ripple, demonstrating significant performance gains. These results underscore the potential of the RSMLO method as a robust tool for the advanced design of electric machines, offering substantial improvements in both performance and efficiency, and positioning it as a critical framework for future EV and industrial drive applications.http://www.sciencedirect.com/science/article/pii/S2590123025000763Flux switching wound field machineMultilevel design optimizationResponse surfaceSensitivity analysis methodTorque capabilityTorque ripple |
| spellingShingle | Chiweta E. Abunike Milad Dowlatshahi Aliakbar Jamshidi Far Ogbonnaya I. Okoro Sumeet S. Aphale Multi-objective optimization of a flux switching wound field machine using a response surface-based multi-level design approach Results in Engineering Flux switching wound field machine Multilevel design optimization Response surface Sensitivity analysis method Torque capability Torque ripple |
| title | Multi-objective optimization of a flux switching wound field machine using a response surface-based multi-level design approach |
| title_full | Multi-objective optimization of a flux switching wound field machine using a response surface-based multi-level design approach |
| title_fullStr | Multi-objective optimization of a flux switching wound field machine using a response surface-based multi-level design approach |
| title_full_unstemmed | Multi-objective optimization of a flux switching wound field machine using a response surface-based multi-level design approach |
| title_short | Multi-objective optimization of a flux switching wound field machine using a response surface-based multi-level design approach |
| title_sort | multi objective optimization of a flux switching wound field machine using a response surface based multi level design approach |
| topic | Flux switching wound field machine Multilevel design optimization Response surface Sensitivity analysis method Torque capability Torque ripple |
| url | http://www.sciencedirect.com/science/article/pii/S2590123025000763 |
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