LAPSE:2023.25327
Published Article
LAPSE:2023.25327
Generalized Average Modeling of a Dual Active Bridge DC-DC Converter with Triple-Phase-Shift Modulation
Michał Rolak, Maciej Twardy, Cezary Soból
March 28, 2023
Abstract
This paper shows an elaboration of an equivalent electrical circuit of a Dual Active Bridge (DAB) and its application as a versatile tool for steady-states analysis in wide range of operating conditions. This work analyses the converter which is controlled with a coherently defined Triple Phase-Shift (TPS) modulation which allows appropriate switching functions to be written, thus enabling the circuit’s state-space equations to be derived. Due to this approach, a Fourier series expansion may be easily applied to utilize Generalized Averaged Modeling (GAM)—a convenient method for modeling resonant and quasi-resonant power converters. Moreover, this paper shows the utilization of the GAM model higher harmonics’ complex magnitudes to calculate the steady-state power characteristics for bidirectional operation; additionally, a method for a particular state variable waveform signal reconstruction is presented. All the discussed model properites are validated with a 1.5 kW 100 kHz SiC-based DAB prototype.
Keywords
Dual Active Bridge (DAB), Generalized Average Modeling (GAM), linear time periodic system, LTP, power characteristics, Triple Phase Shift Modulation (TPS)
Suggested Citation
Rolak M, Twardy M, Soból C. Generalized Average Modeling of a Dual Active Bridge DC-DC Converter with Triple-Phase-Shift Modulation. (2023). LAPSE:2023.25327
Author Affiliations
Rolak M: Institute of Control and Industrial Electronics, Warsaw University of Technology, Koszykowa 75, 00-662 Warsaw, Poland [ORCID]
Twardy M: Institute of Control and Industrial Electronics, Warsaw University of Technology, Koszykowa 75, 00-662 Warsaw, Poland
Soból C: Institute of Control and Industrial Electronics, Warsaw University of Technology, Koszykowa 75, 00-662 Warsaw, Poland
Journal Name
Energies
Volume
15
Issue
16
First Page
6092
Year
2022
Publication Date
2022-08-22
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en15166092, Publication Type: Journal Article
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LAPSE:2023.25327
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https://doi.org/10.3390/en15166092
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