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Warianty tytułu
Języki publikacji
Abstrakty
The analysed permanent magnet disc motor (PMDM) is used for direct wheel drive in an electric vehicle. Therefore there are several objectives that could be tackled in the design procedure, such as an increased efficiency, reduced iron weight, reduced copper weight or reduced weight of the permanent magnets (reduced rotor weight). In this paper the optimal design of PMDM using a multi-objective genetic algorithm optimisation procedure is performed. A comparative analysis of the optimal motor solution and its parameters in relation to the prototype is presented.
Czasopismo
Rocznik
Tom
Strony
285--294
Opis fizyczny
Bibliogr. 4 poz., fig., tab.
Twórcy
autor
- Ss. Cyril and Methodius University Faculty of Electrical Engineering and Information Technologies Rugjer Bošković 18, P.O. Box 574, 1000 Skopje, Macedonia
autor
- Ss. Cyril and Methodius University Faculty of Electrical Engineering and Information Technologies Rugjer Bošković 18, P.O. Box 574, 1000 Skopje, Macedonia
Bibliografia
- [1] Di Barba P., Mognaschi M. E., Industrial Design with Multiple Criteria: Shape Optimization of a Permanent-Magnet Generator, IEEE Transaction on Magnetics 45(3): 1482-1485 (2009).
- [2] Liuzzi G., Lucidi S., Parasiliti F., Villani M., Multi-objective Optimization Techniques for the Design of Induction Motors, IEEE Transactions on Magnetics 39(3): 1261-1264 (2003).
- [3] Cvetkovski G., Investigation of Methods and Contribution to the Development of Genetic Algorithm for Optimal Design of Permanent Magnet Synchronous Disc Motor, PhD. Thesis, Faculty of Electrical Engineering and Information Technologies, Skopje, University Ss. Cyril and Methodius University (2000).
- [4] Cvetkovski G., Petkovska L., Gair S. et al., Quasi 3D FEM in Function of an Optimisation Analysis of a PM Disk Motor, Proceedings of ICEM, Helsinki, Finland 4(4): 1871-1875 (2000).
Uwagi
PL
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-c05a96a4-09e4-48f3-8503-b5696f825b24