Adaptive strong tracking unscented Kalman filter based SOC estimation for lithium-ion battery | |
Liu, Miao; Cui, Naxin; Liu, Shulin; Wang, Chunyu; Zhang, Chenghui; Gong, Sizhao | |
刊名 | Proceedings - 2017 Chinese Automation Congress, CAC 2017 |
2017 | |
卷号 | 2017-January页码:1437-1441 |
关键词 | Adaptive Rate Lithium-ion Battery State of Charge Strong Tracking Factor Unscented Kalman Filter |
DOI | 10.1109/CAC.2017.8242993 |
会议名称 | 2017 Chinese Automation Congress, CAC 2017 |
URL标识 | 查看原文 |
会议日期 | 20 October 2017 through 22 October 2017 |
公开日期 | [db:dc_date_available] |
内容类型 | 期刊论文 |
URI标识 | http://www.corc.org.cn/handle/1471x/4589913 |
专题 | 山东大学 |
作者单位 | School of Control Science and Engineering, Shandong University, Jin |
推荐引用方式 GB/T 7714 | Liu, Miao,Cui, Naxin,Liu, Shulin,et al. Adaptive strong tracking unscented Kalman filter based SOC estimation for lithium-ion battery[J]. Proceedings - 2017 Chinese Automation Congress, CAC 2017,2017,2017-January:1437-1441. |
APA | Liu, Miao,Cui, Naxin,Liu, Shulin,Wang, Chunyu,Zhang, Chenghui,&Gong, Sizhao.(2017).Adaptive strong tracking unscented Kalman filter based SOC estimation for lithium-ion battery.Proceedings - 2017 Chinese Automation Congress, CAC 2017,2017-January,1437-1441. |
MLA | Liu, Miao,et al."Adaptive strong tracking unscented Kalman filter based SOC estimation for lithium-ion battery".Proceedings - 2017 Chinese Automation Congress, CAC 2017 2017-January(2017):1437-1441. |
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