4.4 Article

Methods of Estimating AC Losses in Superconducting MgB2 Armature Windings With Spatial and Time Harmonics

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TASC.2022.3181535

关键词

Ac loss; analytical models; finite element analysis; harmonics; power law; superconducting machines

资金

  1. NASA's University Leadership Initiative (ULI) Award on Center forHigh-Efficiency Electrical Technologies for Aircraft (CHEETA) [80NSSC19M0125]
  2. NSF [1807823]
  3. Div Of Electrical, Commun & Cyber Sys
  4. Directorate For Engineering [1807823] Funding Source: National Science Foundation

向作者/读者索取更多资源

Recent developments in low ac loss MgB2 conductors are important for the renewed interest in fully superconducting machines. Evaluating ac losses in fully superconducting machines is crucial for feasible designs. This paper proposes simplified methods to estimate the ac losses in conductors with non-uniform rotational applied magnetic fields experienced by the armature in a machine's environment.
Recent developments in low ac loss MgB2 conductors are of significant importance given renewed interest in fully superconducting (SC) machines. Evaluating ac losses in fully SC machines is a critical step in developing feasible designs. In fully SC machines, SC armature windings experience non-uniform rotating magnetic fields, with spatial and temporal harmonics, which has an undisputed impact on ac losses. Existing ac loss models in the literature, which have been validated for stationary sinusoidal external fields, were extended to constant amplitude rotating fields. There is not enough research on validating the ac loss models for rotating non-uniform magnetic fields with harmonics. This paper proposes simplified methods to estimate the ac losses in conductors with non-uniform rotational applied magnetic fields experienced by the armature in a machine's environment. Extended analytical models are proposed to estimate the ac loss in single and multi-filament MgB2 conductors. The models are then compared against finite element analysis (FEA) results with Power Law loss estimation to evaluate model fidelity.

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