Leakage Inductance Modelling of Transformers: Accurate and Fast Models to Scale the Leakage Inductance Per Unit Length


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Date

2020

Publication Type

Conference Paper

ETH Bibliography

yes

Citations

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Data

Abstract

Fast and accurate transformer leakage inductance models are crucial for optimisation-based design of galvanically isolated converters. Analytical models are rapidly executable and therefore specially suitable for such optimisations. These analytical leakage inductance models typically consist of two steps: First, acquire the leakage inductance per unit length and second, scale this value with a suitable length. In this paper, the term leakage length is introduced for the scaling length. It is shown that the leakage length depends on the magnetic energy distribution and the most influential factors are determined. Furthermore, two accurate and fast leakage length models for E-core and U-core transformers with concentric windings are proposed: The Empirically Corrected Axial Flux (ECAF) model is based on a compact modification of the known axial flux formula. The cut line (CL) model pursues a semi-analytical approach and achieves high accuracy at the cost of higher computational effort. The models are verified with more than 6000 FEM simulations and the error of both models is significantly lower than the error of the known axial flux formula.

Publication status

published

Editor

Book title

2020 22nd European Conference on Power Electronics and Applications (EPE'20 ECCE Europe)

Journal / series

Volume

Pages / Article No.

Publisher

IEEE

Event

22nd European Conference on Power Electronics and Applications (EPE'20 ECCE Europe) (virtual)

Edition / version

Methods

Software

Geographic location

Date collected

Date created

Subject

Transformer; Modelling; Design; Magnetic device; Passive component

Organisational unit

03889 - Biela, Jürgen / Biela, Jürgen check_circle

Notes

Due to the Coronavirus (COVID-19) the conference was conducted virtually.

Funding

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