Se‐mi Lim, Jin-Woo Jung, Ji-Hoon Lee, Jun-Seok Park
{"title":"A power management system for standalone PV systems by efficient load control via battery and environment information detection","authors":"Se‐mi Lim, Jin-Woo Jung, Ji-Hoon Lee, Jun-Seok Park","doi":"10.1080/2287108X.2014.991059","DOIUrl":null,"url":null,"abstract":"This paper presents a standalone photovoltaics system allowing power lines facilitated in wider range, and the power management system for its higher efficiency. The system could be widely used for logistics and transportation industry especially for electric vehicle, unmanned aerial vehicle, variable message signs and etc. The proposed power management system detects the battery and environment information first, and then, it controls each and every load to overly perform the battery operating time extension and component-to-system level protection from the over-charge/discharge. A power management system prototype was evaluated using a large-scale light-emitting diode display system, simulation works, and scenario model. The result highlights longer battery operating time (3.2%~9.6%).","PeriodicalId":276731,"journal":{"name":"International Journal of Advanced Logistics","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Advanced Logistics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/2287108X.2014.991059","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
This paper presents a standalone photovoltaics system allowing power lines facilitated in wider range, and the power management system for its higher efficiency. The system could be widely used for logistics and transportation industry especially for electric vehicle, unmanned aerial vehicle, variable message signs and etc. The proposed power management system detects the battery and environment information first, and then, it controls each and every load to overly perform the battery operating time extension and component-to-system level protection from the over-charge/discharge. A power management system prototype was evaluated using a large-scale light-emitting diode display system, simulation works, and scenario model. The result highlights longer battery operating time (3.2%~9.6%).