The dual active bridge (DAB)-based three-phase bidirectional AC/DC converter is suitable for energy storage systems

owing to its efficient bidirectional power transfer and versatile step-up/step-down voltage ratio. However

designing parameters and optimizing the performance of the converter with a wide output-voltage range face significant challenge. For the converter employing a hybrid modulation strategy that facilitates zero voltage switching (ZVS) operation over a wide voltage range

this paper proposes a multi-objective parameter optimization method based on the genetic algorithm. The method selects power loss of the switches and the root mean square (RMS) value of the inductor current as the optimization objectives. A multi-objective optimization model is established to determine the optimal inductor value and transformer turns ratio. A 1.5 kW prototype is built in the laboratory

and the experimental results demonstrate that the converter with the hybrid modulation strategy can achieve ZVS within a wide voltage and power range. The multi-objective optimization parameter design method effectively reduces power loss and improves efficiency

providing a valuable approach for enhancing the performance of the converter.