Guo Xie, Xin Li, Chunli Zhang, Xinhong Hei, F. Qian, Shaolin Hu, Yuan Cao, B. Cai
{"title":"预测剩余使用寿命的数据驱动方法","authors":"Guo Xie, Xin Li, Chunli Zhang, Xinhong Hei, F. Qian, Shaolin Hu, Yuan Cao, B. Cai","doi":"10.1109/MAPE.2017.8250820","DOIUrl":null,"url":null,"abstract":"Based on the data of the life cycle degradation of lithium ion batteries in Maryland University, this paper analyzes the life degradation process of lithium ion batteries and selects the empirical degradation model. A method for the prediction of lithium ion battery based on EKF / KF is proposed. The EKF algorithm is used to estimate the historical data. Then, the remaining useful life of the lithium ion battery is estimated based on the KF algorithm. The validity of the algorithm is verified by the lithium ion battery data of the University of Maryland, and the algorithm is evaluated by the MAE index.","PeriodicalId":320947,"journal":{"name":"2017 7th IEEE International Symposium on Microwave, Antenna, Propagation, and EMC Technologies (MAPE)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Data-driven approach for the prediction of remaining useful life\",\"authors\":\"Guo Xie, Xin Li, Chunli Zhang, Xinhong Hei, F. Qian, Shaolin Hu, Yuan Cao, B. Cai\",\"doi\":\"10.1109/MAPE.2017.8250820\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Based on the data of the life cycle degradation of lithium ion batteries in Maryland University, this paper analyzes the life degradation process of lithium ion batteries and selects the empirical degradation model. A method for the prediction of lithium ion battery based on EKF / KF is proposed. The EKF algorithm is used to estimate the historical data. Then, the remaining useful life of the lithium ion battery is estimated based on the KF algorithm. The validity of the algorithm is verified by the lithium ion battery data of the University of Maryland, and the algorithm is evaluated by the MAE index.\",\"PeriodicalId\":320947,\"journal\":{\"name\":\"2017 7th IEEE International Symposium on Microwave, Antenna, Propagation, and EMC Technologies (MAPE)\",\"volume\":\"51 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 7th IEEE International Symposium on Microwave, Antenna, Propagation, and EMC Technologies (MAPE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MAPE.2017.8250820\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 7th IEEE International Symposium on Microwave, Antenna, Propagation, and EMC Technologies (MAPE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MAPE.2017.8250820","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Data-driven approach for the prediction of remaining useful life
Based on the data of the life cycle degradation of lithium ion batteries in Maryland University, this paper analyzes the life degradation process of lithium ion batteries and selects the empirical degradation model. A method for the prediction of lithium ion battery based on EKF / KF is proposed. The EKF algorithm is used to estimate the historical data. Then, the remaining useful life of the lithium ion battery is estimated based on the KF algorithm. The validity of the algorithm is verified by the lithium ion battery data of the University of Maryland, and the algorithm is evaluated by the MAE index.
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