Optimization study of current stress in transformerless DAB converter

Shaoning Li; Baoge Zhang; Yuan Wang; Li Ma

doi:10.1117/12.3039364

4 September 2024 Optimization study of current stress in transformerless DAB converter

Shaoning Li, Baoge Zhang, Yuan Wang, Li Ma

Proceedings Volume 13259, International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2024); 132593N (2024) https://doi.org/10.1117/12.3039364
Event: Fourth International Conference on Automation Control, Algorithm, and Intelligent Bionics (ICAIB 2024), 2024, Yinchuan, China

Abstract

Aiming at the problem of large current stress of dual active bridge DC-DC converter, a parallel transformerless dual active bridge converter is proposed based on dual active bridge converter, which can reduce the current stress of the converter and improve the transmission power while reducing the cost of the converter. Firstly, the mathematical model of current stress versus transmission power and the soft-switching range of the converter under extended phase shifting are analyzed, and secondly, the current stress of the converter is optimized by using the KKT conditional method by taking the current stress as the objective function and the most constraints in terms of the transmission power and the ZVS characteristics. The superiority of the proposed parallel transformerless dual active bridge converter in terms of current stress is concluded by comparing the losses of the conventional shunt DAB converter with those of the series-parallel type dual active bridge converter. Finally, simulation experiments are carried out to verify the correctness of the theoretical analysis and that the proposed converter circuit is capable of achieving lower current stress and higher power density.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Shaoning Li, Baoge Zhang, Yuan Wang, and Li Ma "Optimization study of current stress in transformerless DAB converter", Proc. SPIE 13259, International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2024), 132593N (4 September 2024); https://doi.org/10.1117/12.3039364

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