Abstract
This work proposes a methodology for designing power electronic converters called “Automatic Design for Manufacturing” (ADFM). This methodology proposes creating Power Converter Arrays (PCAs) using standardized converter cells. The approach is greatly inspired by the microelectronics integrated circuit design flow, power electronics building blocks, and multicell converters. To achieve the desired voltage/current specifications, the PCA conversion stage is made from the assembly of several Conversion-Standard Cells (CSCs) in series and/or parallel. The ADFM uses data-based models to simulate the behavior of a PCA with very little computational effort. These models require a special characterization approach to maximize the amount of knowledge while minimizing the amount of data. This approach consists of establishing an experiment plan to select the relevant measurements that contain the most information about the PCA technology, building an experimental setup that is capable of acquiring data automatically and using statistical learning to train models that can yield precise predictions. This work performed over 210 h of tests in nine different PCAs in order to gather data to the statistical models. The models predict the efficiency and converter temperature of several PCAs, and the accuracy is compared with real measurements. Finally, the models are employed to compare the performance of PCAs in a specific battery charging application.
Highlights
Design automation in power electronics is a topic that has received much attention in the past years
Operating temperature and efficiency are linked by PE converter losses, making both of them critical output variables to be considered by the designer to create a converter that will comply as much as possible with the specifications
A power converter is created from the interconnection of arrays of Conversion-Standard Cells (CSC), creating a Power Converter Array (PCA)
Summary
Design automation in power electronics is a topic that has received much attention in the past years. In [3], tools are proposed for assisting the designer choices such as the converter topology selection, the magnetic components design, switching frequency tune, etc. Likewise, [4] presents tools for assisting the designer to select the optimal topology, switching frequency, and even the exact components that should be used in order to achieve an optimal solution. In [5], the authors introduce design automation for power modules. The focus of these design methods is on assisting the designer to perform good/optimal decisions during the converter design and to accelerate the design process. The implementation itself toward manufacture remains most of the time to be done, together with the industrialization process
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