Recent Design Optimization Methods for Energy-Efficient Electric Motors and Derived Requirements for a New Improved Method—Part 3
The design of energy-efficient electric motor is a complex problem since diverse requirements and competing goals have to be fulfilled simultaneously. Therefore, different approaches to the design optimization of electric motors have been developed, each of them has its own advantages and drawbacks....
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doaj-1bf22d4d148c46a2b220132be70839732020-11-24T22:58:49ZengMDPI AGProceedings2504-39002018-10-01222140210.3390/proceedings2221402proceedings2221402Recent Design Optimization Methods for Energy-Efficient Electric Motors and Derived Requirements for a New Improved Method—Part 3Johannes Schmelcher0Max Kleine Büning1Kai Kreisköther2Dieter Gerling3Achim Kampker4Department of Mechanical Engineering, University of Applied Sciences Ravensburg-Weingarten,88250 Weingarten, GermanyProduction Engineering of E-Mobility Components PEM, RWTH Aachen University,52062 Aachen, GermanyProduction Engineering of E-Mobility Components PEM, RWTH Aachen University,52062 Aachen, GermanyDepartment of Electrical Drives and Actuators, University of Federal Defense Munich,85579 Neubiberg, GermanyProduction Engineering of E-Mobility Components PEM, RWTH Aachen University,52062 Aachen, GermanyThe design of energy-efficient electric motor is a complex problem since diverse requirements and competing goals have to be fulfilled simultaneously. Therefore, different approaches to the design optimization of electric motors have been developed, each of them has its own advantages and drawbacks. The characteristics of these approaches were presented in the previous part of this multipart paper. In this paper, the presented approaches will be assessed with respect to the criteria: degrees of freedom, computing time and the required user experience. A conflict of objectives will become apparent. Based on these findings, requirements for a new design optimization method with the aim to solve the conflict of objectives, will be formulated.https://www.mdpi.com/2504-3900/2/22/1402electric motordesign optimizationdeterministic methodsstochastic methodsphysical modelssurrogate modelsenergy-efficient motorsboundary conditions |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Johannes Schmelcher Max Kleine Büning Kai Kreisköther Dieter Gerling Achim Kampker |
| spellingShingle |
Johannes Schmelcher Max Kleine Büning Kai Kreisköther Dieter Gerling Achim Kampker Recent Design Optimization Methods for Energy-Efficient Electric Motors and Derived Requirements for a New Improved Method—Part 3 Proceedings electric motor design optimization deterministic methods stochastic methods physical models surrogate models energy-efficient motors boundary conditions |
| author_facet |
Johannes Schmelcher Max Kleine Büning Kai Kreisköther Dieter Gerling Achim Kampker |
| author_sort |
Johannes Schmelcher |
| title |
Recent Design Optimization Methods for Energy-Efficient Electric Motors and Derived Requirements for a New Improved Method—Part 3 |
| title_short |
Recent Design Optimization Methods for Energy-Efficient Electric Motors and Derived Requirements for a New Improved Method—Part 3 |
| title_full |
Recent Design Optimization Methods for Energy-Efficient Electric Motors and Derived Requirements for a New Improved Method—Part 3 |
| title_fullStr |
Recent Design Optimization Methods for Energy-Efficient Electric Motors and Derived Requirements for a New Improved Method—Part 3 |
| title_full_unstemmed |
Recent Design Optimization Methods for Energy-Efficient Electric Motors and Derived Requirements for a New Improved Method—Part 3 |
| title_sort |
recent design optimization methods for energy-efficient electric motors and derived requirements for a new improved method—part 3 |
| publisher |
MDPI AG |
| series |
Proceedings |
| issn |
2504-3900 |
| publishDate |
2018-10-01 |
| description |
The design of energy-efficient electric motor is a complex problem since diverse requirements and competing goals have to be fulfilled simultaneously. Therefore, different approaches to the design optimization of electric motors have been developed, each of them has its own advantages and drawbacks. The characteristics of these approaches were presented in the previous part of this multipart paper. In this paper, the presented approaches will be assessed with respect to the criteria: degrees of freedom, computing time and the required user experience. A conflict of objectives will become apparent. Based on these findings, requirements for a new design optimization method with the aim to solve the conflict of objectives, will be formulated. |
| topic |
electric motor design optimization deterministic methods stochastic methods physical models surrogate models energy-efficient motors boundary conditions |
| url |
https://www.mdpi.com/2504-3900/2/22/1402 |
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