Klemen Sredenšek, Miralem Hadžisclimović, B. Stumberger, S. Seme
{"title":"磷酸铁锂电池的建模与实验评价","authors":"Klemen Sredenšek, Miralem Hadžisclimović, B. Stumberger, S. Seme","doi":"10.1109/MEES58014.2022.10005688","DOIUrl":null,"url":null,"abstract":"The main objective of this paper is to present lithium iron phosphate battery modeling and experimental evaluation. The modeling of the battery was performed using the Thevenin equivalent circuit model with two RC branches and the nonlinear least squares method with the Levenberg-Marquardt optimization algorithm for parameter estimation. The modeling technique presents the most applicable and trivial solution to study and describe the behavior and performance of the battery. The experimental evaluation was performed on a 7,7 kWh battery pack installed at the Institute of Energy Technology, Faculty of Energy Technology, University of Maribor. Based on the estimated parameters of the Thevenin equivalent circuit, the model results show good agreement with measurements. The average mean absolute error method was used for determining the accuracy of the estimated parameters, with the state of charge and voltage being 8,38 % and 0,34 %, respectively.","PeriodicalId":244144,"journal":{"name":"2022 IEEE 4th International Conference on Modern Electrical and Energy System (MEES)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Modeling and Experimental Evaluation of Lithium Iron Phosphate Battery\",\"authors\":\"Klemen Sredenšek, Miralem Hadžisclimović, B. Stumberger, S. Seme\",\"doi\":\"10.1109/MEES58014.2022.10005688\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The main objective of this paper is to present lithium iron phosphate battery modeling and experimental evaluation. The modeling of the battery was performed using the Thevenin equivalent circuit model with two RC branches and the nonlinear least squares method with the Levenberg-Marquardt optimization algorithm for parameter estimation. The modeling technique presents the most applicable and trivial solution to study and describe the behavior and performance of the battery. The experimental evaluation was performed on a 7,7 kWh battery pack installed at the Institute of Energy Technology, Faculty of Energy Technology, University of Maribor. Based on the estimated parameters of the Thevenin equivalent circuit, the model results show good agreement with measurements. The average mean absolute error method was used for determining the accuracy of the estimated parameters, with the state of charge and voltage being 8,38 % and 0,34 %, respectively.\",\"PeriodicalId\":244144,\"journal\":{\"name\":\"2022 IEEE 4th International Conference on Modern Electrical and Energy System (MEES)\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE 4th International Conference on Modern Electrical and Energy System (MEES)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MEES58014.2022.10005688\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 4th International Conference on Modern Electrical and Energy System (MEES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MEES58014.2022.10005688","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Modeling and Experimental Evaluation of Lithium Iron Phosphate Battery
The main objective of this paper is to present lithium iron phosphate battery modeling and experimental evaluation. The modeling of the battery was performed using the Thevenin equivalent circuit model with two RC branches and the nonlinear least squares method with the Levenberg-Marquardt optimization algorithm for parameter estimation. The modeling technique presents the most applicable and trivial solution to study and describe the behavior and performance of the battery. The experimental evaluation was performed on a 7,7 kWh battery pack installed at the Institute of Energy Technology, Faculty of Energy Technology, University of Maribor. Based on the estimated parameters of the Thevenin equivalent circuit, the model results show good agreement with measurements. The average mean absolute error method was used for determining the accuracy of the estimated parameters, with the state of charge and voltage being 8,38 % and 0,34 %, respectively.