Data-Driven Component Cost Models for Power-Electronic Converters

European Conference on Power Electronics and Applications, pp. 1–9

Abstract

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.

Authors 3

1. Carsten Fronczek Aachen Institute for Power Electronics and Electrical Drives (ISEA)

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University,Institute for Power Electronics and Electrical Drives,Aachen,Germany

   Institute for Power Electronics and Electrical Drives, RWTH Aachen University, Aachen, Germany

2. Niklas Fritz Aachen Institute for Power Electronics and Electrical Drives (ISEA)

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University,Institute for Power Electronics and Electrical Drives,Aachen,Germany

   Institute for Power Electronics and Electrical Drives, RWTH Aachen University, Aachen, Germany

3. Rik W. De Doncker Aachen Institute for Power Electronics and Electrical Drives (ISEA)

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University,Institute for Power Electronics and Electrical Drives,Aachen,Germany

   Institute for Power Electronics and Electrical Drives, RWTH Aachen University, Aachen, Germany