{"title":"一种基于超级电容器的城市交通能效提升储能系统","authors":"Marko Lelas, T. Pavlovic, Ž. Ban","doi":"10.1109/EDPE.2015.7325333","DOIUrl":null,"url":null,"abstract":"In order to obtain improvement in energy efficiency of urban rail transportation system by usage of regenerative breaking energy this article deals with modeling of the rail vehicle and energy storage, as well as, with proposing form of breaking energy flow control algorithm. The control algorithm is based on maximization of used regenerative breaking energy as well as maximization of a storage element charge-discharge life cycle. The critical thresholds of the algorithm should be obtained by optimization. The accurate simplified rail vehicle model with storage element model suitable for control algorithm optimization is developed in this article. In addition, control algorithm and optimization cost function are proposed in order to maximize used regenerative breaking energy and life cycle of the storage element. The roll of control algorithm during implementation phase on real vehicle will be generation of the reference signal for low level control algorithms of the supercapacitor converter.","PeriodicalId":246203,"journal":{"name":"2015 International Conference on Electrical Drives and Power Electronics (EDPE)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A supercapacitor based energy storage system for urban transportation energy efficiency improvement\",\"authors\":\"Marko Lelas, T. Pavlovic, Ž. Ban\",\"doi\":\"10.1109/EDPE.2015.7325333\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to obtain improvement in energy efficiency of urban rail transportation system by usage of regenerative breaking energy this article deals with modeling of the rail vehicle and energy storage, as well as, with proposing form of breaking energy flow control algorithm. The control algorithm is based on maximization of used regenerative breaking energy as well as maximization of a storage element charge-discharge life cycle. The critical thresholds of the algorithm should be obtained by optimization. The accurate simplified rail vehicle model with storage element model suitable for control algorithm optimization is developed in this article. In addition, control algorithm and optimization cost function are proposed in order to maximize used regenerative breaking energy and life cycle of the storage element. The roll of control algorithm during implementation phase on real vehicle will be generation of the reference signal for low level control algorithms of the supercapacitor converter.\",\"PeriodicalId\":246203,\"journal\":{\"name\":\"2015 International Conference on Electrical Drives and Power Electronics (EDPE)\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-11-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 International Conference on Electrical Drives and Power Electronics (EDPE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EDPE.2015.7325333\",\"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 International Conference on Electrical Drives and Power Electronics (EDPE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EDPE.2015.7325333","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A supercapacitor based energy storage system for urban transportation energy efficiency improvement
In order to obtain improvement in energy efficiency of urban rail transportation system by usage of regenerative breaking energy this article deals with modeling of the rail vehicle and energy storage, as well as, with proposing form of breaking energy flow control algorithm. The control algorithm is based on maximization of used regenerative breaking energy as well as maximization of a storage element charge-discharge life cycle. The critical thresholds of the algorithm should be obtained by optimization. The accurate simplified rail vehicle model with storage element model suitable for control algorithm optimization is developed in this article. In addition, control algorithm and optimization cost function are proposed in order to maximize used regenerative breaking energy and life cycle of the storage element. The roll of control algorithm during implementation phase on real vehicle will be generation of the reference signal for low level control algorithms of the supercapacitor converter.