{"title":"Recent Progress on State and Parameter Estimation for Lithium-Sulfur Batteries","authors":"H. Fathy","doi":"10.23919/ACC53348.2022.9867392","DOIUrl":null,"url":null,"abstract":"This presentation will briefly explore some recent developments in the areas of lithium-sulfur (Li-S) battery modeling, parameter estimation, state estimation, and control. Widely recognized for their potential to provide attractive specific energy levels safely and inexpensively, Li-S batteries are governed by chains of multiple nonlinear redox and self-discharge reaction dynamics. This makes it important to develop novel battery management algorithms specifically tailored for the unique characteristics of Li-S batteries, particularly in contrast to their more traditional lithium-ion counterparts. The presentation will highlight some of the progress, as well as some of the key challenges and opportunities, in this emerging research domain.","PeriodicalId":366299,"journal":{"name":"2022 American Control Conference (ACC)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 American Control Conference (ACC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/ACC53348.2022.9867392","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This presentation will briefly explore some recent developments in the areas of lithium-sulfur (Li-S) battery modeling, parameter estimation, state estimation, and control. Widely recognized for their potential to provide attractive specific energy levels safely and inexpensively, Li-S batteries are governed by chains of multiple nonlinear redox and self-discharge reaction dynamics. This makes it important to develop novel battery management algorithms specifically tailored for the unique characteristics of Li-S batteries, particularly in contrast to their more traditional lithium-ion counterparts. The presentation will highlight some of the progress, as well as some of the key challenges and opportunities, in this emerging research domain.