An evaluation framework for power electronic device models using decision making under uncertainties

The uncertainty in modeling and simulation in power device comes from many different sources. This uncertainty brings a question of how to choose the best-fit model for a specific purpose and environment of a circuit designer. This paper proposes a numerical framework of decision making under incomplete knowledge, which quantifies the uncertainty of models and allows circuit designers to know the realistic expectations of the performance and, thus provides the level of appropriateness of the models. Case studies are performed for practical applications of the framework.