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New Hybrid Model for Evaluating the Frequency-Dependent Leakage Inductance of a Variable Inductance Transformer (VIT)

Conference · · 2022 IEEE Energy Conversion Congress and Exposition (ECCE)
 [1];  [2]
  1. Missouri University of Science and Technology,Department of Electrical and Computer Engineering,Rolla,MO,USA; Missouri University of Science and Technology
  2. Missouri University of Science and Technology,Department of Electrical and Computer Engineering,Rolla,MO,USA

Skin and proximity effects can cause a significant drop in the effective leakage inductance of a transformer when the operating frequency is increased. Although the magnetic image method-based double-2-D model can calculate the lowfrequency leakage inductance with sufficient accuracy, it is inherently a frequency-independent model. While Dowell’s 1-D model uses frequency-dependent relations to account for both skin and proximity effects, its accuracy is severely affected by the assumed winding geometry. In this paper, a hybrid model is proposed that uses superposition to combine a modified Dowell’s model with the double-2-D model. The proposed model is investigated on a variable inductance transformer (VIT)—a partially-filled transformer whose leakage inductance can be varied by moving one of the windings mechanically. The frequency-dependent leakage inductances of the VIT evaluated using the hybrid model are in excellent agreement with the corresponding finite element method (FEM) simulated and experimentally measured values, thereby validating the proposed hybrid model.

Research Organization:
Missouri University of Science and Technology
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Office of Sustainable Transportation. Vehicle Technologies Office (VTO)
DOE Contract Number:
EE0008449
OSTI ID:
1991827
Journal Information:
2022 IEEE Energy Conversion Congress and Exposition (ECCE), Journal Name: 2022 IEEE Energy Conversion Congress and Exposition (ECCE)
Country of Publication:
United States
Language:
English

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