Resumen
Optimizing the design of electric machines is a vital step in ensuring the economical use of active materials. The three-dimensional flux paths in axial flux PM (AFPM) machines necessitate the use of computationally expensive 3D electromagnetic analysis. Furthermore, a large number of design evaluations is required to find the optimum, causing the total computation time to be excessively long. In view of this, a two-level surrogate assisted algorithm capable of handling such expensive optimization problems is introduced, which substantially reduces the number of FEA evaluations. The proposed algorithm is employed to optimally design an AFPM machine within a specified envelope, identifying the limits of cost and efficiency. Optimized designs with different rotor polarities are systematically compared in order to form the basis for a set of generalized design rules.
| Idioma original | English |
|---|---|
| Título de la publicación alojada | 2018 IEEE Energy Conversion Congress and Exposition, ECCE 2018 |
| Páginas | 3272-3277 |
| Número de páginas | 6 |
| ISBN (versión digital) | 9781479973118 |
| DOI | |
| Estado | Published - dic 3 2018 |
| Evento | 10th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2018 - Portland, United States Duración: sept 23 2018 → sept 27 2018 |
Serie de la publicación
| Nombre | 2018 IEEE Energy Conversion Congress and Exposition, ECCE 2018 |
|---|
Conference
| Conference | 10th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2018 |
|---|---|
| País/Territorio | United States |
| Ciudad | Portland |
| Período | 9/23/18 → 9/27/18 |
Nota bibliográfica
Publisher Copyright:© 2018 IEEE.
Financiación
ACKNOWLEDGMENT The support of Regal Beloit Corp., University of Kentucky, the L. Stanley Pigman endowment and the SPARK program, and ANSYS Inc. is gratefully acknowledged.
| Financiadores |
|---|
| ANSYS, Inc. |
| University of Kentucky |
ODS de las Naciones Unidas
Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible
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Affordable and clean energy
ASJC Scopus subject areas
- Energy Engineering and Power Technology
- Renewable Energy, Sustainability and the Environment
- Control and Optimization
- Computer Networks and Communications
- Hardware and Architecture
- Information Systems and Management
Huella
Profundice en los temas de investigación de 'Exploring the Efficiency and Cost Limits of Fractional hp Axial Flux PM Machine Designs'. En conjunto forman una huella única.Citar esto
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