{"title":"结合细胞特性的不均匀性,基于测量融合和双扩展卡尔曼滤波的电荷状态和健康状态估计方法","authors":"Jin-Hyeng Park, W. Na, Jonghoon Kim","doi":"10.23919/ICCAS50221.2020.9268340","DOIUrl":null,"url":null,"abstract":"This paper proposes an SOC (state of charge) and SOH (state of health) estimation technique using sensor fusion method to solve the problem of battery system stability deterioration due to voltage variation in cell-to-cell. In order to reflect the cell-to-cell variance, we use the measurement fusion method based on the multi cell model. From this model, the dual extended Kalman filter is utilized for estimating the SOC and SOH.","PeriodicalId":6732,"journal":{"name":"2020 20th International Conference on Control, Automation and Systems (ICCAS)","volume":"194 1","pages":"648-651"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"State of charge and State of health estimation method based on measurement fusion and dual extended Kalman filter for combining the inhomogeneity of cell characteristics\",\"authors\":\"Jin-Hyeng Park, W. Na, Jonghoon Kim\",\"doi\":\"10.23919/ICCAS50221.2020.9268340\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes an SOC (state of charge) and SOH (state of health) estimation technique using sensor fusion method to solve the problem of battery system stability deterioration due to voltage variation in cell-to-cell. In order to reflect the cell-to-cell variance, we use the measurement fusion method based on the multi cell model. From this model, the dual extended Kalman filter is utilized for estimating the SOC and SOH.\",\"PeriodicalId\":6732,\"journal\":{\"name\":\"2020 20th International Conference on Control, Automation and Systems (ICCAS)\",\"volume\":\"194 1\",\"pages\":\"648-651\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-10-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 20th International Conference on Control, Automation and Systems (ICCAS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/ICCAS50221.2020.9268340\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 20th International Conference on Control, Automation and Systems (ICCAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/ICCAS50221.2020.9268340","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
State of charge and State of health estimation method based on measurement fusion and dual extended Kalman filter for combining the inhomogeneity of cell characteristics
This paper proposes an SOC (state of charge) and SOH (state of health) estimation technique using sensor fusion method to solve the problem of battery system stability deterioration due to voltage variation in cell-to-cell. In order to reflect the cell-to-cell variance, we use the measurement fusion method based on the multi cell model. From this model, the dual extended Kalman filter is utilized for estimating the SOC and SOH.