{"title":"Open Circuit Voltage of Lithium-ion batteries for energy storage in DC microgrids","authors":"F. Baronti, R. Saletti, W. Zamboni","doi":"10.1109/ICDCM.2015.7152066","DOIUrl":null,"url":null,"abstract":"Rechargeable batteries, particularly Lithium-ion ones, are emerging as a solution for energy storage in DC microgrids. This paper reviews the issues faced in the characterization of the Open Circuit Voltage (OCV) of a Lithium-ion battery, starting from the problem of OCV measurement and ending with the modeling of OCV hysteresis. An accurate OCV modeling is necessary for a reliable estimation of the internal battery states, such as State-of-Charge and State-of-Health. These state variables are useful for a better control and a more efficient utilization of the energy storage system in the microgrid. We also compare with experiments two models that account for the hysteresis in Lithium-Iron-Phosphate batteries.","PeriodicalId":110320,"journal":{"name":"2015 IEEE First International Conference on DC Microgrids (ICDCM)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE First International Conference on DC Microgrids (ICDCM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDCM.2015.7152066","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
Rechargeable batteries, particularly Lithium-ion ones, are emerging as a solution for energy storage in DC microgrids. This paper reviews the issues faced in the characterization of the Open Circuit Voltage (OCV) of a Lithium-ion battery, starting from the problem of OCV measurement and ending with the modeling of OCV hysteresis. An accurate OCV modeling is necessary for a reliable estimation of the internal battery states, such as State-of-Charge and State-of-Health. These state variables are useful for a better control and a more efficient utilization of the energy storage system in the microgrid. We also compare with experiments two models that account for the hysteresis in Lithium-Iron-Phosphate batteries.