{"title":"Modeling of internal parameters of a lead acid battery with experimental validation","authors":"Jihen Loukil, Ferdaous Masmoudi, N. Derbel","doi":"10.1109/SSD.2016.7473738","DOIUrl":null,"url":null,"abstract":"In this paper, a suitable mathematical model of lead acid batteries has been presented. In order to imitate the real behavior of batteries and then to extract charge and discharge characteristics, the third order model has been proposed. An experimental test under real conditions has been set up. To identify internal parameters of battery cells, two methods have been suggested: (i) the identification using electrical characteristics established by the manufacturer datasheet, and (ii) the identification through a genetic algorithm. Recovered simulation results have been compared to those provided by the lead acid 12V/7Ah's datasheet and then have been validated by experimental works. Genetic algorithm becomes an useful tool for researchers to determine easily the parameters of battery models.","PeriodicalId":149580,"journal":{"name":"2016 13th International Multi-Conference on Systems, Signals & Devices (SSD)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 13th International Multi-Conference on Systems, Signals & Devices (SSD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SSD.2016.7473738","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
In this paper, a suitable mathematical model of lead acid batteries has been presented. In order to imitate the real behavior of batteries and then to extract charge and discharge characteristics, the third order model has been proposed. An experimental test under real conditions has been set up. To identify internal parameters of battery cells, two methods have been suggested: (i) the identification using electrical characteristics established by the manufacturer datasheet, and (ii) the identification through a genetic algorithm. Recovered simulation results have been compared to those provided by the lead acid 12V/7Ah's datasheet and then have been validated by experimental works. Genetic algorithm becomes an useful tool for researchers to determine easily the parameters of battery models.
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