Code underlying the publication: High Accuracy Generalized Average Model of Dual Active Bridge Converters
DOI: 10.4121/7b797825-80ed-4b3d-a517-60883ab97b43
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Dataset
The primary objective of this research is to develop and validate a generalized average model (GAM) of a dual active bridge (DAB) converter that incorporates higher-order harmonic components and considers a non-unity turn ratio of the high-frequency transformer. This aims to achieve a more accurate and realistic modeling and reconstruction of the transformer current of the DAB converter.
GAM.zip consists of two MATLAB codes:
Fourier coefficient verification script for switching functions: Fourier_Coefficient_Verification.m
Code to reconstruct the switching functions of the DAB converter operating in Single Phase Shift Modulation (SPS). The accuracy of the reconstructed switching functions can be tuned by changing the order of harmonics to be considered during the reconstruction.
Generalized average model of DAB converter considering the contribution up to and including 9th harmonics: 9_th_Harmonic_GAM_model.m
Code that provides the improved GAM model of a DAB converter, considering the contribution up to and including 9th harmonics, proposed in the referenced publication.
Both MATLAB codes have been explained properly with in-line comments.
No data has been collected from an external source for this research. The MATLAB codes are created based on the proposed modeling procedure within the referenced publication. They are mathematical and based on a user-defined example.
For more details, please refer:
R. S. Deshmukh, P. Bauer and H. Vahedi, "High-Accuracy Generalized Average Model of Dual Active Bridge Converters," in IEEE Open Journal of Power Electronics, vol. 5, pp. 452-460, 2024
History
- 2025-09-26 first online, published, posted
Publisher
4TU.ResearchDataFormat
MATLAB codeAssociated peer-reviewed publication
High-Accuracy Generalized Average Model of Dual Active Bridge ConvertersOrganizations
TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science, Department of Electrical Sustainable EnergyDATA
Files (1)
- 3,185 bytesMD5:
6d1fb201b557ffdb00509edabaf151b1
GAM.zip