{"title":"一种用于智能电动汽车的简化充电电池模型","authors":"M. Musio, A. Damiano","doi":"10.1109/ENERGYCON.2014.6850599","DOIUrl":null,"url":null,"abstract":"This paper proposes a simple and generalized battery model dedicated to lithium rechargeable batteries of electric vehicles, oriented to the energy management of off-board charging stations. In particular, the mathematical description of the used algorithm, the identification of model parameters and the validation of its use for time emulation of fast charging processes are reported and discussed in detail. The comparison between the emulated charging battery behaviours of a Lithium Iron Phosphate battery and the experimental results is reported in order to confirm the accuracy of the model. Finally, an application control scheme for the coordination and energy management of off-board charging stations within the smart grid paradigm is described.","PeriodicalId":410611,"journal":{"name":"2014 IEEE International Energy Conference (ENERGYCON)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"A simplified charging battery model for smart electric vehicles applications\",\"authors\":\"M. Musio, A. Damiano\",\"doi\":\"10.1109/ENERGYCON.2014.6850599\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a simple and generalized battery model dedicated to lithium rechargeable batteries of electric vehicles, oriented to the energy management of off-board charging stations. In particular, the mathematical description of the used algorithm, the identification of model parameters and the validation of its use for time emulation of fast charging processes are reported and discussed in detail. The comparison between the emulated charging battery behaviours of a Lithium Iron Phosphate battery and the experimental results is reported in order to confirm the accuracy of the model. Finally, an application control scheme for the coordination and energy management of off-board charging stations within the smart grid paradigm is described.\",\"PeriodicalId\":410611,\"journal\":{\"name\":\"2014 IEEE International Energy Conference (ENERGYCON)\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-05-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE International Energy Conference (ENERGYCON)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ENERGYCON.2014.6850599\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE International Energy Conference (ENERGYCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ENERGYCON.2014.6850599","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A simplified charging battery model for smart electric vehicles applications
This paper proposes a simple and generalized battery model dedicated to lithium rechargeable batteries of electric vehicles, oriented to the energy management of off-board charging stations. In particular, the mathematical description of the used algorithm, the identification of model parameters and the validation of its use for time emulation of fast charging processes are reported and discussed in detail. The comparison between the emulated charging battery behaviours of a Lithium Iron Phosphate battery and the experimental results is reported in order to confirm the accuracy of the model. Finally, an application control scheme for the coordination and energy management of off-board charging stations within the smart grid paradigm is described.
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