Evaluation of the Efficiency of Line-Start Permanent-Magnet Machines as a Function of the Operating Temperature
| Data(s) |
13/04/2016
13/04/2016
2014
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| Resumo |
The standard squirrel-cage induction machine has nearly reached its maximum efficiency. In order to further increase the energy efficiency of electrical machines, the use of permanent magnets in combination with the robust design and the line start capability of the induction machine is extensively investigated. Many experimental designs have been suggested in literature, but recently, these line-start permanent-magnet machines (LSPMMs) have become off-the-shelf products available in a power range up to 7.5 kW. The permanent magnet flux density is a function of the operating temperature. Consequently, the temperature will affect almost every electrical quantity of the machine, including current, torque, and efficiency. In this paper, the efficiency of an off-the-shelf 4-kW three-phase LSPMM is evaluated as a function of the temperature by both finite-element modeling and by practical measurements. In order to obtain stator, rotor, and permanent magnet temperatures, lumped thermal modeling is used. |
| Identificador |
Colin Debruyne, Maria Polikarpova, Stijn Derammelaere, Peter Sergeant, Juha Pyrhönen, Jan J. M. Desmet, Lieven Vandevelde (2014) Evaluation of the Efficiency of Line-Start Permanent-Magnet Machines as a Function of the Operating Temperature, IEEE Transactions on Industrial Electronics, 08/2014; 61(8):4443-4454. DOI:10.1109/TIE.2013.2279127 0278-0046 URN:NBN:fi-fe2015092814124 |
| Idioma(s) |
en |
| Publicador |
IEEE |
| Relação |
IEEE Transactions on Industrial Electronics DOI:10.1109/TIE.2013.2279127 |
| Direitos |
openAccess This publication is protected by copyright. You may download, display and print it for Your own personal use. Commercial use is prohibited. |
| Palavras-Chave | #Energy efficiency #finite-element method #induction motors (IMs) #magnetic losses #permanent-magnet (PM) machines #synchronous motors #temperature dependence #temperature distribution |
| Tipo |
article draft |