Dual Active Bridge

Dual Active Bridge (DAB) converters are power electronic devices enabling efficient bidirectional power transfer, crucial for applications like wireless charging and electric vehicles. Current research heavily focuses on optimizing DAB converter modulation strategies, particularly using artificial intelligence techniques like neural networks, fuzzy inference systems, and ensemble learning algorithms (e.g., XGBoost) to improve efficiency and minimize current stress while achieving zero voltage switching (ZVS) across operating ranges. This involves developing data-driven models, often augmented with experimental data, to achieve higher accuracy and practical relevance than traditional knowledge-based approaches. These advancements promise significant improvements in power converter design and performance across various industries.