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T–A-Formulation to Model Electrical Machines With HTS Coated Conductor Coils.
- Source :
- IEEE Transactions on Applied Superconductivity; Sep2020, Vol. 30 Issue 6, p1-7, 7p
- Publication Year :
- 2020
-
Abstract
- Modeling high temperature superconductor (HTS) motors remains challenging mainly due to the high aspect ratio of these conductors but also because of the properties of the magnetic materials. This article presents a 2-D time dependent model to assess the ac losses of superconducting motors based on the new T–A-formulation, which by using the finite-element method, allows its implementation in commercial software. The T–A-formulation computes the magnetic flux density with different Maxwell's equations depending on the areas of the motor and makes it possible to use the thin strip approximation i.e., the HTS tapes are modeled as infinitely thin lines. The model is then expected to tackle the high aspect ratio of the HTS as well as decreasing both the mesh complexity and the computing time. The first objective of the article is to validate the method in 2-D by evaluating the ac losses of a specific synchronous motor called superconducting torque motor; the computed results are compared with good agreements to those assessed with the minimum electromagnetic entropy production method, already validated. In a second part, the same losses are computed, taking into account the field anisotropy of J<subscript>c</subscript> with the implementation of a dataset based on experimentally measured I<subscript>c</subscript> at 65 and 77 K. With the model proposed in this article, it is possible to calculate the magnetic field of a whole electrical machine cross section and compute the ac losses in the individual tapes of its windings within the same numerical model. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 10518223
- Volume :
- 30
- Issue :
- 6
- Database :
- Complementary Index
- Journal :
- IEEE Transactions on Applied Superconductivity
- Publication Type :
- Academic Journal
- Accession number :
- 146512466
- Full Text :
- https://doi.org/10.1109/TASC.2020.2968950