Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.12188/21600
Title: | Genetic algorithm as a tool for multi-objective optimization of permanent magnet disc motor | Authors: | Cvetkovski, Goga Petkovska, Lidija |
Keywords: | design optimisation electric vehicle genetic algorithm multi-objective optimisation permanent magnet disc motor |
Issue Date: | 1-Jun-2016 | Publisher: | Walter de Gruyter GmbH | Source: | Goga Cvetkovski, Lidija Petkovska, (2016) Genetic Algorithm as a Tool for Multi-Objective Optimization of Permanent Magnet Disc Motor, Archives of Electrical Engineering, Polish Academy of Sciences, Warsaw, Vol. 65(2), pp. 285-294, 2016. | Journal: | Archives of Electrical Engineering | Abstract: | 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. | URI: | http://hdl.handle.net/20.500.12188/21600 | DOI: | 10.1515/aee-2016-0020 |
Appears in Collections: | Faculty of Electrical Engineering and Information Technologies: Journal Articles |
Show full item record
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.