Multi-Physics Tool for Electrical Machine Sizing
Society is turning to electrification to reduce air pollution, increasing electric machine demand. For industrial mass production, a detailed design of one machine is usually done first, then a design of similar machines, but different ratings are reached by geometry scaling. This design process may...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-04-01
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| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/13/7/1651 |
| _version_ | 1797571590668419072 |
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| author | Yerai Moreno Gaizka Almandoz Aritz Egea Patxi Madina Ana Julia Escalada |
| author_facet | Yerai Moreno Gaizka Almandoz Aritz Egea Patxi Madina Ana Julia Escalada |
| author_sort | Yerai Moreno |
| collection | DOAJ |
| description | Society is turning to electrification to reduce air pollution, increasing electric machine demand. For industrial mass production, a detailed design of one machine is usually done first, then a design of similar machines, but different ratings are reached by geometry scaling. This design process may be highly time-consuming, so, in this paper, a new sizing method is proposed to reduce this time, maintaining accuracy. It is based on magnetic flux and thermal maps, both linked with an algorithm so that the sizing process of an electrical machine can be carried out in less than one minute. The magnetic flux maps are obtained by Finite Element Analysis (FEA) and the thermal maps are obtained by analytical models based on Lumped Parameter Circuits (LPC), applying a time-efficient procedure. The proposed methodology is validated in a real case study, sizing 10 different industrial machines. Then, the accuracy of the sizing tool is validated performing the experimental test over the 10 machines. A very good agreement is achieved between the experimental results and the performances calculated by the sizing tools, as the maximum error is around 5%. |
| first_indexed | 2024-03-10T20:42:53Z |
| format | Article |
| id | doaj.art-5d27e0c80c3f41a3a059811c47200bbe |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T20:42:53Z |
| publishDate | 2020-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-5d27e0c80c3f41a3a059811c47200bbe2023-11-19T20:31:05ZengMDPI AGEnergies1996-10732020-04-01137165110.3390/en13071651Multi-Physics Tool for Electrical Machine SizingYerai Moreno0Gaizka Almandoz1Aritz Egea2Patxi Madina3Ana Julia Escalada4Faculty of Engineering, University of Mondragon, 20500 Mondragon, SpainFaculty of Engineering, University of Mondragon, 20500 Mondragon, SpainFaculty of Engineering, University of Mondragon, 20500 Mondragon, SpainFaculty of Engineering, University of Mondragon, 20500 Mondragon, SpainORONA Elevator Innovation Centre, 20120 Hernani, SpainSociety is turning to electrification to reduce air pollution, increasing electric machine demand. For industrial mass production, a detailed design of one machine is usually done first, then a design of similar machines, but different ratings are reached by geometry scaling. This design process may be highly time-consuming, so, in this paper, a new sizing method is proposed to reduce this time, maintaining accuracy. It is based on magnetic flux and thermal maps, both linked with an algorithm so that the sizing process of an electrical machine can be carried out in less than one minute. The magnetic flux maps are obtained by Finite Element Analysis (FEA) and the thermal maps are obtained by analytical models based on Lumped Parameter Circuits (LPC), applying a time-efficient procedure. The proposed methodology is validated in a real case study, sizing 10 different industrial machines. Then, the accuracy of the sizing tool is validated performing the experimental test over the 10 machines. A very good agreement is achieved between the experimental results and the performances calculated by the sizing tools, as the maximum error is around 5%.https://www.mdpi.com/1996-1073/13/7/1651sizing methodologyelectrical machinesthermal modelelectromagnetic modelpermanent magnet |
| spellingShingle | Yerai Moreno Gaizka Almandoz Aritz Egea Patxi Madina Ana Julia Escalada Multi-Physics Tool for Electrical Machine Sizing Energies sizing methodology electrical machines thermal model electromagnetic model permanent magnet |
| title | Multi-Physics Tool for Electrical Machine Sizing |
| title_full | Multi-Physics Tool for Electrical Machine Sizing |
| title_fullStr | Multi-Physics Tool for Electrical Machine Sizing |
| title_full_unstemmed | Multi-Physics Tool for Electrical Machine Sizing |
| title_short | Multi-Physics Tool for Electrical Machine Sizing |
| title_sort | multi physics tool for electrical machine sizing |
| topic | sizing methodology electrical machines thermal model electromagnetic model permanent magnet |
| url | https://www.mdpi.com/1996-1073/13/7/1651 |
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