A prediction method for the screening current induced field in HTS magnets based on time series models

Abstract

Due to the special electromagnetic properties, high temperature superconducting (HTS) conductors become the potential solution for ultra-high field magnet and energy storage applications. However, screening current induced field (SCIF) have been demonstrated to be the main limitation to high field HTS magnets in actual applications. Based on time series models, this paper presents a prediction method of SCIF to support the design and application of HTS magnets. First, we analyze the data characteristic of SCIF hysteresis loop. The simulated dataset is prepared for two typical magnet structures: single pancake and solenoid. Then, time series models are proposed for the SCIF prediction. Through the intuitive analysis and the evaluation metrics, the training performance of time series models is confirmed. After discussion on hyper-parameters and dimension reduction, the optimized prediction performance is obtained for the SCIF hysteresis loop. In conjunction with the iterative prediction mode, it finally achieves the feasible and effective prediction method of SCIF for HTS magnets. It will provide a tool and research strategy to support the general finite element method.

Non-uniform critical current and stacking effect remedy for multi-filament REBCO tapes with potential defects

“…where B ⊥i,j and B ∥i,j are the perpendicular and parallel components of B i,j . The parameters of the formula B 0 = 0.15088 T, κ 2 = 0.08689, α = 0.98758, which are obtained by fitting an interpolation function based on experimental measurement [25]. After the critical current density distribution is obtained, the critical current value of the ith tape can be obtained by (6).…”