A. M. Pesco, R. Biagetti, R.S. Chidamber, C.R. Venkatram
{"title":"An adaptive battery reserve time prediction algorithm","authors":"A. M. Pesco, R. Biagetti, R.S. Chidamber, C.R. Venkatram","doi":"10.1109/INTLEC.1989.88247","DOIUrl":null,"url":null,"abstract":"A study was performed to develop an adaptive state-of-charge indicator for use in estimating reserve-time during a battering discharge. A dimensional analysis on the discharge characteristics of AT&T Lineage 2000 Round Cells in the useful range of discharge led to the identification of the relevant physical variables and constants needed to describe the discharge behavior quantitatively. This analysis provided the basis for the proposed algorithm, which involves analyzing actual discharge behavior in real time and modifying the estimation of available reserve-time accordingly. The proposed algorithm was tested with actual discharge data from constant-current and variable-current discharges.<<ETX>>","PeriodicalId":272740,"journal":{"name":"Conference Proceedings., Eleventh International Telecommunications Energy Conference","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1989-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Conference Proceedings., Eleventh International Telecommunications Energy Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INTLEC.1989.88247","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
A study was performed to develop an adaptive state-of-charge indicator for use in estimating reserve-time during a battering discharge. A dimensional analysis on the discharge characteristics of AT&T Lineage 2000 Round Cells in the useful range of discharge led to the identification of the relevant physical variables and constants needed to describe the discharge behavior quantitatively. This analysis provided the basis for the proposed algorithm, which involves analyzing actual discharge behavior in real time and modifying the estimation of available reserve-time accordingly. The proposed algorithm was tested with actual discharge data from constant-current and variable-current discharges.<>
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