基于预测建模的开关功率变换器组件级数据驱动设计

This article shows how the design of switching power converters at the component level can be assisted by data-driven, automated, systematic methods. This work uses regression machine learning (ML) techniques, where predictive component models are trained using large amounts of component data and design-oriented parameters derived from the data. For a given converter topology and specification set...