{"title":"基于磷酸铁锂电池的变阶建模与参数辨识","authors":"Chang Li, Qi Wang, Jiayi Jiang, Xingcan Li","doi":"10.1109/ICEICT55736.2022.9908608","DOIUrl":null,"url":null,"abstract":"In this paper, aiming at the low approximation degree of low-order model and the complex structure of high-order model existing in the current equivalent circuit model of lithium-ion battery for vehicles, a variable order equivalent circuit model of power battery was established based on the RC model to solve the contradiction between the accuracy and practicability of the battery model. Firstly, the characteristics of lithium iron phosphate batteries commonly used in electric vehicles were analyzed. The resistance and capacity identification was carried out according to the model characteristics. The order identification was carried out using Akaike Information Criterion (AIC). The final simulation results show that the accuracy error of the model is stable within 12mV, and the error stability is high, demonstrating the superiority of the model.","PeriodicalId":179327,"journal":{"name":"2022 IEEE 5th International Conference on Electronic Information and Communication Technology (ICEICT)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Variable Order Modeling and Parameter Identification based on Lithium iron Phosphate Battery\",\"authors\":\"Chang Li, Qi Wang, Jiayi Jiang, Xingcan Li\",\"doi\":\"10.1109/ICEICT55736.2022.9908608\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, aiming at the low approximation degree of low-order model and the complex structure of high-order model existing in the current equivalent circuit model of lithium-ion battery for vehicles, a variable order equivalent circuit model of power battery was established based on the RC model to solve the contradiction between the accuracy and practicability of the battery model. Firstly, the characteristics of lithium iron phosphate batteries commonly used in electric vehicles were analyzed. The resistance and capacity identification was carried out according to the model characteristics. The order identification was carried out using Akaike Information Criterion (AIC). The final simulation results show that the accuracy error of the model is stable within 12mV, and the error stability is high, demonstrating the superiority of the model.\",\"PeriodicalId\":179327,\"journal\":{\"name\":\"2022 IEEE 5th International Conference on Electronic Information and Communication Technology (ICEICT)\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-08-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE 5th International Conference on Electronic Information and Communication Technology (ICEICT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICEICT55736.2022.9908608\",\"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 5th International Conference on Electronic Information and Communication Technology (ICEICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEICT55736.2022.9908608","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
本文针对目前车用锂离子电池等效电路模型中存在的低阶模型逼近程度低、高阶模型结构复杂的问题,基于RC模型建立了动力电池变阶等效电路模型,解决了电池模型精度与实用性之间的矛盾。首先,分析了电动汽车常用的磷酸铁锂电池的特性。根据模型的特点进行了电阻和容量的辨识。采用赤池信息准则(Akaike Information Criterion, AIC)进行订单识别。最后的仿真结果表明,该模型的精度误差稳定在12mV以内,且误差稳定性较高,证明了该模型的优越性。
Variable Order Modeling and Parameter Identification based on Lithium iron Phosphate Battery
In this paper, aiming at the low approximation degree of low-order model and the complex structure of high-order model existing in the current equivalent circuit model of lithium-ion battery for vehicles, a variable order equivalent circuit model of power battery was established based on the RC model to solve the contradiction between the accuracy and practicability of the battery model. Firstly, the characteristics of lithium iron phosphate batteries commonly used in electric vehicles were analyzed. The resistance and capacity identification was carried out according to the model characteristics. The order identification was carried out using Akaike Information Criterion (AIC). The final simulation results show that the accuracy error of the model is stable within 12mV, and the error stability is high, demonstrating the superiority of the model.