Multilevel Dual Active Bridge Leakage Inductance Selection for Various DC-Link Voltage Spans
2023 (English)In: Energies, E-ISSN 1996-1073, Vol. 16, no 2, article id 859Article in journal (Refereed) Published
Abstract [en]
The leakage inductance of the transformer in a dual active bridge (DAB) dc–dc converter directly impacts the ac current waveforms and the power factor; thus, it can be considered a design requirement for the transformer. In the existing literature, a choice is made to either ensure soft switching in nominal power or to minimize the RMS current of the transformer. The inductance is typically obtained using optimization procedures. Implementing these optimizations is time-consuming, which can be avoided if a closed-form equation is derived for the optimum leakage inductance. In this paper, analytical formulas are derived to estimate the desired leakage inductance such that the highest RMS value of the current in the operation region of a DAB is kept to its minimum value. The accuracy and sensitivity of the analytical solutions are evaluated. It is shown that in a large design domain, the solution for the YY-connected MFT has a less than 3% error compared to the results obtained from an optimization engine. As an example of the importance of selecting the leakage inductance correctly, it is shown that for 11% deviations in the dc link voltages, a 10% deviation from the desired leakage inductance value can cause 2% higher RMS currents in the converter. © 2023 by the authors.
Place, publisher, year, edition, pages
MDPI , 2023. Vol. 16, no 2, article id 859
Keywords [en]
dc–dc power conversion, dual active bridge (DAB), leakage inductance, modular multilevel converter (MMC), optimization, Bridges, DC transformers, Electric power factor, Power converters, 'current, D.c.-d.c. power conversions, Dc/dc power conversions, Dual active bridge, Dual active bridges, Modular multilevel converter, Modulars, Multilevel converter, Optimisations, Inductance
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:ri:diva-63993DOI: 10.3390/en16020859Scopus ID: 2-s2.0-85146686171OAI: oai:DiVA.org:ri-63993DiVA, id: diva2:1737174
Note
Funding details: Energimyndigheten, 43048-1; Funding text 1: The authors gratefully acknowledge the financial support from the Swedish Energy Agency (Energimyndigheten). Also, the authors would like to thank Amin Bahmani for contributing to designing and developing the transformers.; Funding text 2: This research is funded by Swedish Energy Agency (Energimyndigheten), Project No. 43048-1.
2023-02-152023-02-152023-08-28Bibliographically approved