Analytical model of the AC-AC DAB converter in the EGAM framework

This paper develops an analytical model of the bidirectional AC-AC Dual Active Bridge (DAB) converter. The passive components of the AC-AC DAB are subject to grid, switching, and sideband harmonics. Thus, it is impossible to model via the conventional Generalized Average Method (GAM). It has been numerically shown that Extended GAM (EGAM) can be used to model the AC-AC DAB converter. In this paper, an analytical sixteenth order EGAM-model has been developed that considers only grid harmonics at the filter components and only sideband harmonics for the transformer leakage inductor. A closed-form expression is developed for the 2D convolution product. The output of the EGAM model is compared with PLECS to depict its accuracy.

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Publication Details

Published
2025-06-22
DOI
https://doi.org/10.1109/compel57166.2025.11121238
Primary Topic
Sensor Technology and Measurement Systems
Type
article
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article

Analytical model of the AC-AC DAB converter in the EGAM framework

Kartikeya Jayadurga Prasad Veeramraju, Jonathan W. Kimball, Arnold Fernandes
Sensor Technology and Measurement Systems
article

Analytical model of the AC-AC DAB converter in the EGAM framework

Kartikeya Jayadurga Prasad Veeramraju, Jonathan W. Kimball, Arnold Fernandes
article en

Abstract

This paper develops an analytical model of the bidirectional AC-AC Dual Active Bridge (DAB) converter. The passive components of the AC-AC DAB are subject to grid, switching, and sideband harmonics. Thus, it is impossible to model via the conventional Generalized Average Method (GAM). It has been numerically shown that Extended GAM (EGAM) can be used to model the AC-AC DAB converter. In this paper, an analytical sixteenth order EGAM-model has been developed that considers only grid harmonics at the filter components and only sideband harmonics for the transformer leakage inductor. A closed-form expression is developed for the 2D convolution product. The output of the EGAM model is compared with PLECS to depict its accuracy.

Missouri University of Science and Technology (US), Mountain View College (US)
Openalex Percentile: Top 76%
Sensor Technology and Measurement Systems
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