The analysis of modeling of dual Kalman filter in lithium battery SOC estimates
文献类型：会议论文
| 作者 | Wang YG(王云甘) ; Wang ZF(王忠锋); Guo, KunYa; Wang XT(王笑天); Li LG(李力刚); Huang, ZheZhu
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| 出版日期 | 2014 |
| 会议名称 | 2014 International Conference on Advances in Materials Science and Information Technologies in Industry, AMSITI 2014 |
| 会议日期 | January 11-12, 2014 |
| 会议地点 | Xi'an, China |
| 关键词 | Algorithms Equations of state Estimation Information technology Kalman filters Lead acid batteries Least squares approximations Materials science |
| 页码 | 4294-4297 |
| 中文摘要 | Dual Kalman filter (DEKF) algorithm is analysed on this paper to online estimate the state of charge of lithium battery. After introducing the estimation methods international used currently, we choose an appropriate equivalent circuit model of lithium battery and identify the parameters by least square method. By building the Kalman filter state space equation of lithium battery SOCand battery internal resistance R0, we form a dual Kalman filter algorithm that can estimate battery SOC with higher precesion. And then, the workflow of this algorithm is given, which demonstrates the feasibility of online state estimate and ease of programming. © (2014) Trans Tech Publications, Switzerland. |
| 收录类别 | EI |
| 产权排序 | 1 |
| 会议录 | Applied Mechanics and Materials
 |
| 会议录出版者 | Trans Tech Publications |
| 会议录出版地 | Zurich-Durnten, Switzerland |
| 语种 | 英语 |
| ISBN号 | 978-3-03835-012-5 |
| 源URL | [http://ir.sia.cn/handle/173321/14764]  |
| 专题 | 沈阳自动化研究所_工业控制网络与系统研究室 |
| 推荐引用方式 GB/T 7714 | Wang YG,Wang ZF,Guo, KunYa,et al. The analysis of modeling of dual Kalman filter in lithium battery SOC estimates[C]. 见:2014 International Conference on Advances in Materials Science and Information Technologies in Industry, AMSITI 2014. Xi'an, China. January 11-12, 2014. |
入库方式： OAI收割
来源：沈阳自动化研究所
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