Review of Modeling, Modulation, and Control Strategies for the Dual-Active-Bridge DC/DC Converter

Jiayang He, Yangyu Chen, Jiongtao Lin, Jianghui Chen (), Li Cheng and Yu Wang ()
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Jiayang He: School of Automation, Guangdong University of Technology, Guangzhou 510006, China
Yangyu Chen: School of Automation, Guangdong University of Technology, Guangzhou 510006, China
Jiongtao Lin: School of Automation, Guangdong University of Technology, Guangzhou 510006, China
Jianghui Chen: College of Automation, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
Li Cheng: College of Automation, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
Yu Wang: School of Automation, Guangdong University of Technology, Guangzhou 510006, China

Energies, 2023, vol. 16, issue 18, 1-30

Abstract: This paper provides a comprehensive review of the existing research on the Dual Active Bridge (DAB) DC-DC converter, focusing on modeling methods, modulation strategies, optimization algorithms, and control methods. A comparative analysis of selected methods along with guidelines to assist engineers and researchers in their study of DAB is also presented. Firstly, a comprehensive review of modulation strategies for DAB is provided, ranging from classical phase-shift modulation to the popular asymmetric duty modulation. The intrinsic relationships among different modulation methods are summarized, and a comparison is made based on the difficulty of control and DAB operating characteristics. Secondly, the various modeling methods for DAB are described, including reduced-order modeling, generalized state-space averaging modeling, and discrete-time modeling methods. A comparison is made based on the suitability for different application scenarios, providing recommendations for the adoption of different modeling methods. Furthermore, a survey of optimization algorithms for modulation methods is presented, including classical algorithms, swarm intelligence optimization, and reinforcement learning algorithms. A number of criteria are proposed for different algorithms, and an analysis of the unresolved challenges and future prospects is provided. Finally, the advanced control methods for DAB are summarized based on control effectiveness and applicability. The article concludes with a summary and an outlook on future research directions is also provided.

Keywords: dual active bridge (DAB); modeling methods; modulation strategies; optimization algorithms; advanced control methods (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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