Data-Driven Component Cost Models for Power-Electronic Converters

Multi-objective optimization significantly shortens the design time for converters and improves initial design decisions. In addition to technical objectives, economic aspects such as cost play a role in almost every application. This paper provides cost models for converter components based on publicly available data from spring 2023. These cost models are based on the largest dataset of any converter-component cost model in the literature. Besides physical properties of the components, they include economic factors and allow their application from prototype to series production. The cost models were evaluated using statistical metrics. Further, the derived component cost models serve as a basis to a simplified design optimization for a 10 kW dc-dc converter.