{"title":"基于预测控制的混合燃料电池系统管理","authors":"C. Cadet, B. Robu","doi":"10.1109/ICSTCC.2015.7321340","DOIUrl":null,"url":null,"abstract":"The objective of this work is to improve the power management subsystem of a hybrid fuel cell / supercapacitor power generation system. The predictive approach is a relevant available control strategy that can explicitly handle constraints including soft ones and that can also deal with multiple control inputs. Some improvements are presented to shorten the computation time which is very important in practical cases. The first results show the interest of the proposed approach and the possible improvements.","PeriodicalId":257135,"journal":{"name":"2015 19th International Conference on System Theory, Control and Computing (ICSTCC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Management of a hybrid fuel cell system using a predictive control approach\",\"authors\":\"C. Cadet, B. Robu\",\"doi\":\"10.1109/ICSTCC.2015.7321340\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The objective of this work is to improve the power management subsystem of a hybrid fuel cell / supercapacitor power generation system. The predictive approach is a relevant available control strategy that can explicitly handle constraints including soft ones and that can also deal with multiple control inputs. Some improvements are presented to shorten the computation time which is very important in practical cases. The first results show the interest of the proposed approach and the possible improvements.\",\"PeriodicalId\":257135,\"journal\":{\"name\":\"2015 19th International Conference on System Theory, Control and Computing (ICSTCC)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 19th International Conference on System Theory, Control and Computing (ICSTCC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSTCC.2015.7321340\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 19th International Conference on System Theory, Control and Computing (ICSTCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSTCC.2015.7321340","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Management of a hybrid fuel cell system using a predictive control approach
The objective of this work is to improve the power management subsystem of a hybrid fuel cell / supercapacitor power generation system. The predictive approach is a relevant available control strategy that can explicitly handle constraints including soft ones and that can also deal with multiple control inputs. Some improvements are presented to shorten the computation time which is very important in practical cases. The first results show the interest of the proposed approach and the possible improvements.