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<p>This study investigates the occurrence of high-frequency oscillations (HFOs) in quad active bridge (QAB) DC-DC converters, which are commonly employed in DC microgrid and electric vehicle (EV) applications. The phenomenon of HFOs in multi-active bridge (MAB) converters, the consequent performance deterioration, and the methods for alleviation are discussed. Unlike previously reported studies, this work proposes a frequency-domain model for the transformer that reveals the need for regulating the dv/dt at the ports of the H-bridge to suppress HFOs across the transformer terminal voltages. To proactively regulate the dv/dt and suppress HFO, an optimal parallel capacitance is connected across the switching devices. This improves the soft-switching range and minimizes the power losses in the switches, increasing the overall efficiency of the QAB converter. Swarm-based optimization techniques such as particle swarm optimization (PSO) are used to determine the optimal parallel capacitance. The close agreement between the results of simulations using PLECS software and experiments on a 2.5&#xa0;kW prototype unit demonstrates the efficacy of the proposed approach. </p>

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Mitigation of high-frequency oscillations in quad active bridge converters

  • 期刊论文

  • 发表日期：

    2025年8月14日

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  • Chadaram Chandra Sekhar,
  • Chilakapati Nagamani,
  • Ganesan Saravana Ilango

摘要

This study investigates the occurrence of high-frequency oscillations (HFOs) in quad active bridge (QAB) DC-DC converters, which are commonly employed in DC microgrid and electric vehicle (EV) applications. The phenomenon of HFOs in multi-active bridge (MAB) converters, the consequent performance deterioration, and the methods for alleviation are discussed. Unlike previously reported studies, this work proposes a frequency-domain model for the transformer that reveals the need for regulating the dv/dt at the ports of the H-bridge to suppress HFOs across the transformer terminal voltages. To proactively regulate the dv/dt and suppress HFO, an optimal parallel capacitance is connected across the switching devices. This improves the soft-switching range and minimizes the power losses in the switches, increasing the overall efficiency of the QAB converter. Swarm-based optimization techniques such as particle swarm optimization (PSO) are used to determine the optimal parallel capacitance. The close agreement between the results of simulations using PLECS software and experiments on a 2.5 kW prototype unit demonstrates the efficacy of the proposed approach.