{"title":"利用卡尔曼滤波和锂离子电池参数观测来估计真实车辆充电状态的充电动力学模型","authors":"Lin He, Guangwei Yin, Renjie Pan, Guoqiang Wang, Jichao Liu, Wenshan Zhou","doi":"10.1177/09596518241263022","DOIUrl":null,"url":null,"abstract":"State-of-charge estimation by Kalman filter requires a linear dynamics model of lithium-ion battery. This is particularly challenging for formulating a battery dynamics model by a set of linear differential equations, for which battery dynamic characteristics are nonlinear. While much of the research on battery dynamics models has focused on linearizing the battery model by some mathematical methods, comparatively little is known about how to directly model a linear differential equation containing some nonlinear characteristics. In this article, we are trying to build a linear charge dynamics model that consists of equivalent circuit model and voltage charge characteristics, based on which a Kalman filter is designed for state-of-charge estimation. The designed approach is deployed in a battery electric vehicle for some validations. According to some experimental results, it can be concluded that the charge dynamics model of lithium-ion battery is a good linear model for direct application of Kalman filter.","PeriodicalId":20638,"journal":{"name":"Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering","volume":"55 1","pages":""},"PeriodicalIF":1.4000,"publicationDate":"2024-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A charge dynamics model for state-of-charge estimation by Kalman filter and lithium-ion battery parameters observation in real-vehicle\",\"authors\":\"Lin He, Guangwei Yin, Renjie Pan, Guoqiang Wang, Jichao Liu, Wenshan Zhou\",\"doi\":\"10.1177/09596518241263022\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"State-of-charge estimation by Kalman filter requires a linear dynamics model of lithium-ion battery. This is particularly challenging for formulating a battery dynamics model by a set of linear differential equations, for which battery dynamic characteristics are nonlinear. While much of the research on battery dynamics models has focused on linearizing the battery model by some mathematical methods, comparatively little is known about how to directly model a linear differential equation containing some nonlinear characteristics. In this article, we are trying to build a linear charge dynamics model that consists of equivalent circuit model and voltage charge characteristics, based on which a Kalman filter is designed for state-of-charge estimation. The designed approach is deployed in a battery electric vehicle for some validations. According to some experimental results, it can be concluded that the charge dynamics model of lithium-ion battery is a good linear model for direct application of Kalman filter.\",\"PeriodicalId\":20638,\"journal\":{\"name\":\"Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering\",\"volume\":\"55 1\",\"pages\":\"\"},\"PeriodicalIF\":1.4000,\"publicationDate\":\"2024-08-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.1177/09596518241263022\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"AUTOMATION & CONTROL SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1177/09596518241263022","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
A charge dynamics model for state-of-charge estimation by Kalman filter and lithium-ion battery parameters observation in real-vehicle
State-of-charge estimation by Kalman filter requires a linear dynamics model of lithium-ion battery. This is particularly challenging for formulating a battery dynamics model by a set of linear differential equations, for which battery dynamic characteristics are nonlinear. While much of the research on battery dynamics models has focused on linearizing the battery model by some mathematical methods, comparatively little is known about how to directly model a linear differential equation containing some nonlinear characteristics. In this article, we are trying to build a linear charge dynamics model that consists of equivalent circuit model and voltage charge characteristics, based on which a Kalman filter is designed for state-of-charge estimation. The designed approach is deployed in a battery electric vehicle for some validations. According to some experimental results, it can be concluded that the charge dynamics model of lithium-ion battery is a good linear model for direct application of Kalman filter.
期刊介绍:
Systems and control studies provide a unifying framework for a wide range of engineering disciplines and industrial applications. The Journal of Systems and Control Engineering refleSystems and control studies provide a unifying framework for a wide range of engineering disciplines and industrial applications. The Journal of Systems and Control Engineering reflects this diversity by giving prominence to experimental application and industrial studies.
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This journal is a member of the Committee on Publication Ethics (COPE).cts this diversity by giving prominence to experimental application and industrial studies.