{"title":"分布式能源网络中SoH感知的电池管理优化","authors":"Daichi Watari, Ittetsu Taniguchi, T. Onoye","doi":"10.1109/ICCPS.2018.00042","DOIUrl":null,"url":null,"abstract":"The battery degradation is serious problem for the modern electrical systems. This paper proposes State-of-Health (SoH) aware battery management optimization method on decentralized energy network. The power distribution problem is often solved with mixed integer programming (MIP), and proposed formulation takes into account the SoH model. Our poster shows the details and the effectiveness of proposed method.","PeriodicalId":199062,"journal":{"name":"2018 ACM/IEEE 9th International Conference on Cyber-Physical Systems (ICCPS)","volume":"87 2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"SoH Aware Battery Management Optimization on Decentralized Energy Network\",\"authors\":\"Daichi Watari, Ittetsu Taniguchi, T. Onoye\",\"doi\":\"10.1109/ICCPS.2018.00042\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The battery degradation is serious problem for the modern electrical systems. This paper proposes State-of-Health (SoH) aware battery management optimization method on decentralized energy network. The power distribution problem is often solved with mixed integer programming (MIP), and proposed formulation takes into account the SoH model. Our poster shows the details and the effectiveness of proposed method.\",\"PeriodicalId\":199062,\"journal\":{\"name\":\"2018 ACM/IEEE 9th International Conference on Cyber-Physical Systems (ICCPS)\",\"volume\":\"87 2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-04-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 ACM/IEEE 9th International Conference on Cyber-Physical Systems (ICCPS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCPS.2018.00042\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 ACM/IEEE 9th International Conference on Cyber-Physical Systems (ICCPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCPS.2018.00042","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
SoH Aware Battery Management Optimization on Decentralized Energy Network
The battery degradation is serious problem for the modern electrical systems. This paper proposes State-of-Health (SoH) aware battery management optimization method on decentralized energy network. The power distribution problem is often solved with mixed integer programming (MIP), and proposed formulation takes into account the SoH model. Our poster shows the details and the effectiveness of proposed method.