{"title":"利用扩展卡尔曼滤波器和深度神经网络增强电动汽车中锂离子电池的充电状态估计","authors":"Younes Djaballah, Karim Negadi, Mohamed Boudiaf","doi":"10.1007/s40435-024-01388-6","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":37878,"journal":{"name":"International Journal of Dynamics and Control","volume":null,"pages":null},"PeriodicalIF":2.2000,"publicationDate":"2024-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Enhanced lithium–ion battery state of charge estimation in electric vehicles using extended Kalman filter and deep neural network\",\"authors\":\"Younes Djaballah, Karim Negadi, Mohamed Boudiaf\",\"doi\":\"10.1007/s40435-024-01388-6\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":37878,\"journal\":{\"name\":\"International Journal of Dynamics and Control\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.2000,\"publicationDate\":\"2024-02-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Dynamics and Control\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1007/s40435-024-01388-6\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"AUTOMATION & CONTROL SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Dynamics and Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s40435-024-01388-6","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
期刊介绍:
The International Journal of Dynamics and Control publishes original research and review articles reporting on theoretical, numerical, and experimental works that advance the knowledge of linear and nonlinear dynamic systems and their control. Topics include modeling, analysis, solution techniques, control strategies, and experimental investigation of mechanical, civil, electrical, electronic, coupled electro-mechanical, and biological systems with complex dynamic characteristics.