A fast numerical modelling approach based on boundary field method for calculating AC losses in superconducting motors

Wang, Y., Song, W. , Yazdani-Asrami, M. and Fang, J. (2023) A fast numerical modelling approach based on boundary field method for calculating AC losses in superconducting motors. IEEE Transactions on Applied Superconductivity, 33(3), 5200906. (doi: 10.1109/TASC.2023.3245039)

Abstract

To improve the computational efficiency of the numerical methods for calculating AC loss in HTS motor, a new method called ‘Boundary field method’ is proposed in this paper. This method combines the strength of ANSYS and COMSOL, which can reduce the complexity of modeling and computation time. In this paper, three finite element method (FEM) based models, as case studies, were developed for a 100-kW superconducting induction motor. Model A models entire motor in COMSOL using A-H formulation, considering non-linear E-J relationship of HTS tapes, which can calculate AC loss of motor directly; Combining another two models: Model B (the same entire superconducting motor in ANSYS) and Model C (only superconducting stator windings in COMSOL) can achieve new method for calculating AC loss. The AC loss calculation error between two methods for two-layer windings in one slot is 2.5% and 7%, respectively. These results conclude the effectiveness and accuracy of ‘Boundary field method’. More importantly, the computation time reduces dramatically from 48 hours in Model A to only 2 hours for proposed approach. This accurate and computationally efficient new numerical modelling approach could be used to calculate AC loss in various types of superconducting applications in future.

• Item Type: Articles
• Additional Information: This work was supported by the Study on stability of HTS motor through Program of Graduate Innovation Research in Beijing Jiaotong University under Grant E22YJS0010.
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Yazdani-Asrami, Dr Mohammad and Song, Dr Wenjuan
• Authors: Wang, Y., Song, W., Yazdani-Asrami, M., and Fang, J.
• College/School: College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity
• Journal Name: IEEE Transactions on Applied Superconductivity
• Publisher: IEEE
• ISSN: 1051-8223
• ISSN (Online): 1558-2515
• Published Online: 15 February 2023
• Copyright Holders: Copyright © 2023 IEEE
• First Published: First published in IEEE Transactions on Applied Superconductivity 33(3): 5200906
• Publisher Policy: Reproduced in accordance with the publisher copyright policy