{"title":"Topology and parameter optimization design for magnetic resonance wireless power transfer system","authors":"Yanling Li, Qichang Duan, Yongcan Huang","doi":"10.1109/WOW.2017.7959376","DOIUrl":null,"url":null,"abstract":"Magnetic resonance Wireless Power Transfer (WPT) Technology can realize energy transfer across relatively large air gap and get more and more applications in recent years. However, it's difficult to get an optimization design for this system due to its high system order and complex resonance structure. This paper proposes a novel optimization design method using automatic topology comparison and parameters optimization. This method can select not only optimization parameters but also optimization topology to meet multi-objective performance requirements. Experimental results verify this optimization method.","PeriodicalId":242505,"journal":{"name":"2017 IEEE PELS Workshop on Emerging Technologies: Wireless Power Transfer (WoW)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE PELS Workshop on Emerging Technologies: Wireless Power Transfer (WoW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WOW.2017.7959376","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
Magnetic resonance Wireless Power Transfer (WPT) Technology can realize energy transfer across relatively large air gap and get more and more applications in recent years. However, it's difficult to get an optimization design for this system due to its high system order and complex resonance structure. This paper proposes a novel optimization design method using automatic topology comparison and parameters optimization. This method can select not only optimization parameters but also optimization topology to meet multi-objective performance requirements. Experimental results verify this optimization method.