Browse/search for people

Publication - Dr David Drury

    A comparative study between aluminium and copper windings for a modular-wound IPM electric machine

    Citation

    Ayat, S, Wrobel, R, Baker, J & Drury, D, 2017, ‘A comparative study between aluminium and copper windings for a modular-wound IPM electric machine’. in: 2017 IEEE International Electric Machines & Drives Conference (IEMDC 2017): Proceedings of a meeting held 21-24 May 2017, Miami, Florida, USA. Institute of Electrical and Electronics Engineers (IEEE), pp. 208-215

    Abstract

    This paper conducts a comparative study upon the performance of an electrical machine fitted with alternative winding conductor materials. The study focusses on an existing interior-mount PM machine (IPM), which is wound with copper (Cu) conductors in a single-layer modular topology. An analysis exercise is performed to investigate the impact of using alternative conductor materials, such as Aluminium (Al). The studied machine employs profiled rectangular conductors, which can offer many performance and manufacturing benefits. It is however acknowledged that windings formed from large section conductors frequently suffer from elevated ac losses, e.g. from high-speed and/or high frequency operation. In this context, replacing commonly used Cu windings with a material of higher electrical resistivity, such as Al, is an interesting alternative. The immediate impact would be an increase of dc winding resistance and therefore elevated dc losses. However, under high-frequency operation, the increased material resistance helps to abate the effects of ac loss. A more detailed approach for the loss and efficiency derivation is provided herein, accounting for magnetic saturation and stator current vector in field weakening operation. Theoretical predictions suggest that the use of Al conductors offer benefits to performance under certain operating conditions and are a viable alternative to the commonly used Cu counterpart. In the analysed case, only a moderate reduction in machine performance is experienced at lower speed ranges. The mathematical models used in this work were informed from tests on a hardware prototype to provide more reliable machine performance predictions.

    Full details in the University publications repository