Feng Ju, Junwen Wang, Jingshan Li, S. Biller, G. Xiao
{"title":"Virtual battery: A simulation framework for batteries in electric vehicles","authors":"Feng Ju, Junwen Wang, Jingshan Li, S. Biller, G. Xiao","doi":"10.1109/CASE.2011.6042463","DOIUrl":null,"url":null,"abstract":"In this paper, a virtual battery model, which provides a framework for simulation of batteries in electric vehicles, is introduced. Using such a framework, we can model the performance of a battery during its usage, such as battery charge, discharge, and idle status, the impacts of internal and external temperature, manufacturing quality on joints, the cell capacity and balance management, etc. Such a framework enables providing quantitative tools for design and production engineers to predict the battery performance and provide feedback to battery design, control and manufacturing processes.","PeriodicalId":236208,"journal":{"name":"2011 IEEE International Conference on Automation Science and Engineering","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE International Conference on Automation Science and Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CASE.2011.6042463","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
In this paper, a virtual battery model, which provides a framework for simulation of batteries in electric vehicles, is introduced. Using such a framework, we can model the performance of a battery during its usage, such as battery charge, discharge, and idle status, the impacts of internal and external temperature, manufacturing quality on joints, the cell capacity and balance management, etc. Such a framework enables providing quantitative tools for design and production engineers to predict the battery performance and provide feedback to battery design, control and manufacturing processes.