H. Bai, Xiaobing Teng, Zhen Liu, Haoran Wang, D. Zhou
{"title":"Multi-scale modeling of the lithium battery energy storage system","authors":"H. Bai, Xiaobing Teng, Zhen Liu, Haoran Wang, D. Zhou","doi":"10.1109/ICAICE54393.2021.00067","DOIUrl":null,"url":null,"abstract":"The technical characteristics of energy storage will affect its application mode and application occasion. Therefore, the multi-scale modeling of energy storage technology can maximize the technical and economic benefits of distributed generation. In this paper, for different time scales, the lithium iron phosphate battery voltage model based on the fast method is used to establish the transient model of lithium battery. Considering the charge discharge power output limit and charge state of the lithium battery energy storage system, the steady-state model of lithium battery is established. According to the approximate linear relationship between charge discharge power and lithium battery temperature, the quantitative model of lithium battery life is established in real time. Finally, different models are verified by simulation experiments.","PeriodicalId":388444,"journal":{"name":"2021 2nd International Conference on Artificial Intelligence and Computer Engineering (ICAICE)","volume":"287 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 2nd International Conference on Artificial Intelligence and Computer Engineering (ICAICE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAICE54393.2021.00067","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
The technical characteristics of energy storage will affect its application mode and application occasion. Therefore, the multi-scale modeling of energy storage technology can maximize the technical and economic benefits of distributed generation. In this paper, for different time scales, the lithium iron phosphate battery voltage model based on the fast method is used to establish the transient model of lithium battery. Considering the charge discharge power output limit and charge state of the lithium battery energy storage system, the steady-state model of lithium battery is established. According to the approximate linear relationship between charge discharge power and lithium battery temperature, the quantitative model of lithium battery life is established in real time. Finally, different models are verified by simulation experiments.