Fast iron loss prediction method in the pre-design stage of SRMs
To effectively find a valid solution in the development process of electrical machines, it is essential to predict machine iron loss in the pre-design stage. In guidance on the choice of the most suitable configuration of the switched reluctance machine (SRM) is given, but iron loss prediction is ne...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2019-04-01
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| Series: | The Journal of Engineering |
| Subjects: | |
| Online Access: | https://digital-library.theiet.org/content/journals/10.1049/joe.2018.8193 |
| _version_ | 1818321137655873536 |
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| author | Lefei Ge Bernhard Burkhart Bernhard Burkhart Rik W. De Doncker |
| author_facet | Lefei Ge Bernhard Burkhart Bernhard Burkhart Rik W. De Doncker |
| author_sort | Lefei Ge |
| collection | DOAJ |
| description | To effectively find a valid solution in the development process of electrical machines, it is essential to predict machine iron loss in the pre-design stage. In guidance on the choice of the most suitable configuration of the switched reluctance machine (SRM) is given, but iron loss prediction is neglected. Based on the study of Burkhart et al., this study proposes a simplified model to efficiently calculate iron loss in the design procedure of SRMs. For this purpose, a maximum co-energy loop control method is implemented to facilitate the estimation of flux waveform and machine torque. Three different iron loss calculation methods are compared in terms of accuracy and time. The accuracy of the simplified model is verified by comparison with finite element simulation results. Furthermore, the impact of different parameters on the iron loss is discussed, and the iron loss of various machine geometries is comparatively analysed. |
| first_indexed | 2024-12-13T10:36:07Z |
| format | Article |
| id | doaj.art-79cef8579cc04c7592723d851057a9a8 |
| institution | Directory Open Access Journal |
| issn | 2051-3305 |
| language | English |
| last_indexed | 2024-12-13T10:36:07Z |
| publishDate | 2019-04-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Journal of Engineering |
| spelling | doaj.art-79cef8579cc04c7592723d851057a9a82022-12-21T23:50:43ZengWileyThe Journal of Engineering2051-33052019-04-0110.1049/joe.2018.8193JOE.2018.8193Fast iron loss prediction method in the pre-design stage of SRMsLefei Ge0Bernhard Burkhart1Bernhard Burkhart2Rik W. De Doncker3Institute for Power Electronics and Electrical Drives, RWTH Aachen UniversityInstitute for Power Electronics and Electrical Drives, RWTH Aachen UniversityInstitute for Power Electronics and Electrical Drives, RWTH Aachen UniversityInstitute for Power Electronics and Electrical Drives, RWTH Aachen UniversityTo effectively find a valid solution in the development process of electrical machines, it is essential to predict machine iron loss in the pre-design stage. In guidance on the choice of the most suitable configuration of the switched reluctance machine (SRM) is given, but iron loss prediction is neglected. Based on the study of Burkhart et al., this study proposes a simplified model to efficiently calculate iron loss in the design procedure of SRMs. For this purpose, a maximum co-energy loop control method is implemented to facilitate the estimation of flux waveform and machine torque. Three different iron loss calculation methods are compared in terms of accuracy and time. The accuracy of the simplified model is verified by comparison with finite element simulation results. Furthermore, the impact of different parameters on the iron loss is discussed, and the iron loss of various machine geometries is comparatively analysed.https://digital-library.theiet.org/content/journals/10.1049/joe.2018.8193machine theorymagnetic fluxfinite element analysislossesreluctance machinestorqueelectric machinesmagnetic coresmachine geometriesdifferent iron loss calculation methodsmachine torqueflux waveformmaximum co-energy loop control methoddesign proceduresimplified modelswitched reluctance machinemachine iron losselectrical machinesSRMspre-design stagefast iron loss prediction method |
| spellingShingle | Lefei Ge Bernhard Burkhart Bernhard Burkhart Rik W. De Doncker Fast iron loss prediction method in the pre-design stage of SRMs The Journal of Engineering machine theory magnetic flux finite element analysis losses reluctance machines torque electric machines magnetic cores machine geometries different iron loss calculation methods machine torque flux waveform maximum co-energy loop control method design procedure simplified model switched reluctance machine machine iron loss electrical machines SRMs pre-design stage fast iron loss prediction method |
| title | Fast iron loss prediction method in the pre-design stage of SRMs |
| title_full | Fast iron loss prediction method in the pre-design stage of SRMs |
| title_fullStr | Fast iron loss prediction method in the pre-design stage of SRMs |
| title_full_unstemmed | Fast iron loss prediction method in the pre-design stage of SRMs |
| title_short | Fast iron loss prediction method in the pre-design stage of SRMs |
| title_sort | fast iron loss prediction method in the pre design stage of srms |
| topic | machine theory magnetic flux finite element analysis losses reluctance machines torque electric machines magnetic cores machine geometries different iron loss calculation methods machine torque flux waveform maximum co-energy loop control method design procedure simplified model switched reluctance machine machine iron loss electrical machines SRMs pre-design stage fast iron loss prediction method |
| url | https://digital-library.theiet.org/content/journals/10.1049/joe.2018.8193 |
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