{"title":"基于遗传算法的电动汽车无线充电线圈系统优化","authors":"P. Ning, O. Onar, JohnM . Miller","doi":"10.1109/ITEC.2013.6574509","DOIUrl":null,"url":null,"abstract":"High efficiency and low cost coil system design is one of the key points for wireless power transfer. In this paper, along with a design example and experimental verification, a novel optimization method with generic algorithm is presented. The coil track layouts are interpreted with binary strings in the design iterations. Some practical considerations and detailed implementations are introduced in the optimization procedure.","PeriodicalId":118616,"journal":{"name":"2013 IEEE Transportation Electrification Conference and Expo (ITEC)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"20","resultStr":"{\"title\":\"Genetic algorithm based coil system optimization for wireless power charging of electric vehicles\",\"authors\":\"P. Ning, O. Onar, JohnM . Miller\",\"doi\":\"10.1109/ITEC.2013.6574509\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"High efficiency and low cost coil system design is one of the key points for wireless power transfer. In this paper, along with a design example and experimental verification, a novel optimization method with generic algorithm is presented. The coil track layouts are interpreted with binary strings in the design iterations. Some practical considerations and detailed implementations are introduced in the optimization procedure.\",\"PeriodicalId\":118616,\"journal\":{\"name\":\"2013 IEEE Transportation Electrification Conference and Expo (ITEC)\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-06-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"20\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 IEEE Transportation Electrification Conference and Expo (ITEC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ITEC.2013.6574509\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE Transportation Electrification Conference and Expo (ITEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITEC.2013.6574509","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Genetic algorithm based coil system optimization for wireless power charging of electric vehicles
High efficiency and low cost coil system design is one of the key points for wireless power transfer. In this paper, along with a design example and experimental verification, a novel optimization method with generic algorithm is presented. The coil track layouts are interpreted with binary strings in the design iterations. Some practical considerations and detailed implementations are introduced in the optimization procedure.