Artificial intelligence (AI) presents the opportunity to create a new and more efficient way of modelling and designing power electronic converters. In a joint study undertaken with Cardiff University, the team explored a new design method using a type of AI known as artificial neural networks (ANN), which uses algorithms and computing systems that mimic the interconnected neural networks of the human brain.
The ANN was trained on an existing dataset of over 2,000 converter designs, so the team were able to select the most appropriate design for their desired efficiency and power density. The team selected four major components for the ANN-based design, including power gallium nitride (GaN) field-effect transistors (FETs), inductors, capacitors, and heat sinks.