TY - GEN
T1 - Simplified Lumped Parameter Thermal Network for Short-Duty Dual Three-Phase Permanent Magnet Machines
AU - Giangrande, P.
AU - Madonna, V.
AU - Zhao, W.
AU - Wang, Y.
AU - Gerada, C.
AU - Galea, M.
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/8
Y1 - 2019/8
N2 - 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.
AB - 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.
KW - Dual Three-Phase
KW - Electrical Machines Design
KW - Fault-Tolerant
KW - Lumped Parameters Thermal Network
KW - Permanent Magnet Synchronous Machine
KW - Thermal Modeling
UR - http://www.scopus.com/inward/record.url?scp=85077130555&partnerID=8YFLogxK
U2 - 10.1109/ICEMS.2019.8922309
DO - 10.1109/ICEMS.2019.8922309
M3 - Conference contribution
AN - SCOPUS:85077130555
T3 - 2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019
BT - 2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 22nd International Conference on Electrical Machines and Systems, ICEMS 2019
Y2 - 11 August 2019 through 14 August 2019
ER -