{"title":"NI cRIO光伏充电器测试仪","authors":"P. Cotfas, D. Cotfas, D. Ursuțiu, C. Samoilă","doi":"10.1109/REV.2012.6293136","DOIUrl":null,"url":null,"abstract":"This paper presents a developed system for testing the photovoltaic chargers for Lithium-ion battery. The system is based on the NI cRIO platform using LabVIEW graphical programming language. The tested chargers are based on dedicated chips that are using maximum power point tracking algorithms for extracting the maximum energy from solar panels.","PeriodicalId":166546,"journal":{"name":"2012 9th International Conference on Remote Engineering and Virtual Instrumentation (REV)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Tester for photovoltaic charger using NI cRIO\",\"authors\":\"P. Cotfas, D. Cotfas, D. Ursuțiu, C. Samoilă\",\"doi\":\"10.1109/REV.2012.6293136\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a developed system for testing the photovoltaic chargers for Lithium-ion battery. The system is based on the NI cRIO platform using LabVIEW graphical programming language. The tested chargers are based on dedicated chips that are using maximum power point tracking algorithms for extracting the maximum energy from solar panels.\",\"PeriodicalId\":166546,\"journal\":{\"name\":\"2012 9th International Conference on Remote Engineering and Virtual Instrumentation (REV)\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-07-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 9th International Conference on Remote Engineering and Virtual Instrumentation (REV)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/REV.2012.6293136\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 9th International Conference on Remote Engineering and Virtual Instrumentation (REV)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/REV.2012.6293136","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper presents a developed system for testing the photovoltaic chargers for Lithium-ion battery. The system is based on the NI cRIO platform using LabVIEW graphical programming language. The tested chargers are based on dedicated chips that are using maximum power point tracking algorithms for extracting the maximum energy from solar panels.