{"title":"Transformer and Frequency Optimization in a GaN-Based Active-Clamp Flyback Converter","authors":"Andrew B. Nadler, A. Stein, C. Sullivan","doi":"10.1109/APEC39645.2020.9124050","DOIUrl":null,"url":null,"abstract":"Magnetics optimization is paramount to overall power converter optimization. We introduce a method of transformer optimization applied to the example of a GaN-based active-clamp flyback converter using waveforms produced by a circuit simulator, allowing us to account for frequency-dependent waveform changes. An optimization routine is then used to find the minimum loss transformer design for a given RM core and frequency. With this holistic design approach, design calculations predict a 42% reduction in average transformer loss and a 19% reduction in total circuit loss in an already high-performing stock converter module.","PeriodicalId":171455,"journal":{"name":"2020 IEEE Applied Power Electronics Conference and Exposition (APEC)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE Applied Power Electronics Conference and Exposition (APEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APEC39645.2020.9124050","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Magnetics optimization is paramount to overall power converter optimization. We introduce a method of transformer optimization applied to the example of a GaN-based active-clamp flyback converter using waveforms produced by a circuit simulator, allowing us to account for frequency-dependent waveform changes. An optimization routine is then used to find the minimum loss transformer design for a given RM core and frequency. With this holistic design approach, design calculations predict a 42% reduction in average transformer loss and a 19% reduction in total circuit loss in an already high-performing stock converter module.