Adaptive Model Predictive Control for DAB Converter Switching Losses Reduction

Adriano Nardoto, Arthur Amorim, Nelson Santana, Emilio Bueno, Lucas Encarnação () and Walbermark Santos
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Adriano Nardoto: Electrical Engineering Department, Federal Institute of Espírito Santo (IFES), BR101 Km 58, São Mateus 29932-540, Brazil
Arthur Amorim: Electrical Engineering Department, Federal Institute of Espírito Santo (IFES), BR101 Km 58, São Mateus 29932-540, Brazil
Nelson Santana: Electrical Engineering Department, Federal Institute of Espírito Santo (IFES), BR101 Km 58, São Mateus 29932-540, Brazil
Emilio Bueno: Department of Electronics, Alcalá University (UAH), Plaza San Diego S/N, 28801 Madrid, Spain
Lucas Encarnação: Department of Electrical Engineering, Federal University of Espírito Santo (UFES), Av. Fernando Ferrari, 514, Vitória 29075-910, Brazil
Walbermark Santos: Department of Electrical Engineering, Federal University of Espírito Santo (UFES), Av. Fernando Ferrari, 514, Vitória 29075-910, Brazil

Energies, 2022, vol. 15, issue 18, 1-24

Abstract: The solid-state transformer is the enabling technology for the future of electric power systems. The increasing relevance of this equipment demands higher standards for efficiency and losses reduction. The dual active bridge (DAB) topology is the most usual DC-DC converter used in the solid-state transformer, and is responsible for part of its switching losses. The traditional phase-shift modulation used on DAB converters presents significant switching losses during the operation with reduced loads. The alternative Triangular and Trapezoidal Modulations have been proposed in recent literature; however, there are limitations on the maximum power these techniques can deal with. This paper presents an adaptive model predictive control to select among these three techniques, according to the converter model, the one that minimizes the switching losses and allows the current demanded by the load. Moreover, an alternative cost function is proposed, including the output voltage and current. Through real-time simulation, using a 1000 V/600 V 12 kW DAB converter, it is shown that the proposed control is able to reduce the losses on the converter. Furthermore, the proposed control presents fast and accurate response, and precise transition between the modulation techniques.

Keywords: dual active bridge converter; model predictive control; power electronics; switching losses; adaptive control (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
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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