Overall Efficiency Improvement of a Dual Active Bridge Converter Based on Triple Phase-Shift Control
Garry Jean-Pierre,
Necmi Altin,
Ahmad El Shafei and
Adel Nasiri ()
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Garry Jean-Pierre: Center for Sustainable Electrical Energy Systems, University of Wisconsin-Milwaukee (UWM), Milwaukee, WI 53211, USA
Necmi Altin: Electrical-Electronics Engineering Department, Faculty of Technology, Gazi University, Ankara 06560, Turkey
Ahmad El Shafei: Center for Sustainable Electrical Energy Systems, University of Wisconsin-Milwaukee (UWM), Milwaukee, WI 53211, USA
Adel Nasiri: Electrical Engineering Department, College of Engineering and Computing, University of South Carolina (USC), Columbia, SC 29208, USA
Energies, 2022, vol. 15, issue 19, 1-28
Abstract:
This paper proposes a control scheme based on an optimal triple phase-shift (TPS) control for dual active bridge (DAB) DC–DC converters to achieve maximum efficiency. This is performed by analyzing, quantifying, and minimizing the total power losses, including the high-frequency transformer (HFT) and primary and secondary power modules of the DAB converter. To analyze the converter, three operating zones were defined according to low, medium, and rated power. To obtain the optimal TPS variables, two optimization techniques were utilized. In local optimization (LO), the offline particle swarm optimization (PSO) method was used, resulting in numerical optimums. This method was used for the low and medium power regions. The Lagrange multiplier (LM) was used for global optimization (GO), resulting in closed-form expressions for rated power. Detailed analyses and experimental results are given to verify the effectiveness of the proposed method. Additionally, obtained results are compared with the traditional single phase-shift (SPS) method, the optimized dual phase-shift (DPS) method, and TPS method with RMS current minimization to better highlight the performance of the proposed approach.
Keywords: DAB; Lagrange multiplier; power loss optimization; PSO; TPS (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: 2022
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Citations: View citations in EconPapers (2)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:15:y:2022:i:19:p:6933-:d:921761
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