Electrical machines are progressively being employed in an ever-increasing number of safety-critical applications (e.g. aerospace and automotive), which demand high performance as well as reliability features. The modular structure and the inherent winding redundancy of dual three-phase machines are noticeable attributes that make these fault-tolerant machines particularly suitable for safety-critical applications. However, conventional thermal networks might produce misleading results, when applied to dual three-phase machines. Indeed, they generally neglect the thermal mutual coupling between windings belonging to different phase sets, since only a single slot is modelled. This paper addresses the aforementioned issue by presenting two lumped parameters thermal networks (second- and third-order), which account for the thermal behavior of both winding sets. The proposed thermal networks are experimentally validated and between them, the third-order one is chosen as best candidate for predicting the windings' temperature, due to its simplicity, accuracy and fast computational time.

(2019). Simplified Lumped Parameter Thermal Network for Short-Duty Dual Three-Phase Permanent Magnet Machines . Retrieved from http://hdl.handle.net/10446/224332

Simplified Lumped Parameter Thermal Network for Short-Duty Dual Three-Phase Permanent Magnet Machines

Giangrande, P.;
2019-01-01

Abstract

Electrical machines are progressively being employed in an ever-increasing number of safety-critical applications (e.g. aerospace and automotive), which demand high performance as well as reliability features. The modular structure and the inherent winding redundancy of dual three-phase machines are noticeable attributes that make these fault-tolerant machines particularly suitable for safety-critical applications. However, conventional thermal networks might produce misleading results, when applied to dual three-phase machines. Indeed, they generally neglect the thermal mutual coupling between windings belonging to different phase sets, since only a single slot is modelled. This paper addresses the aforementioned issue by presenting two lumped parameters thermal networks (second- and third-order), which account for the thermal behavior of both winding sets. The proposed thermal networks are experimentally validated and between them, the third-order one is chosen as best candidate for predicting the windings' temperature, due to its simplicity, accuracy and fast computational time.
2019
Giangrande, Paolo; Madonna, V.; Zhao, W.; Wang, Y.; Gerada, C.; Galea, M.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10446/224332
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