SIA OpenIR  > 工业控制网络与系统研究室
Estimation of battery SOC based on improved EKF algorithm
Shi G(石刚); Zhao W(赵伟); Han ZH(韩忠华); Liu SS(刘珊珊)
作者部门工业控制网络与系统研究室
会议名称2016 IEEE Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2016
会议日期May 20-22, 2016
会议地点Chongqing, China
会议主办者Chongqing Global Union Academy of Science and Technology; Global Union Academy of Science and Technology; IEEE Beijing Section
会议录名称Proceedings of 2016 IEEE Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2016
出版者IEEE
出版地Piscataway, NJ, USA
2016
页码151-154
收录类别EI ; CPCI(ISTP)
EI收录号20164202910704
WOS记录号WOS:000389505000032
产权排序1
ISBN号978-1-4673-9192-4
关键词Ekf Neural Network Battery Soc Thevenin Circuit Li-ion Battery
摘要This paper studies the estimation of the state of lithium battery (SOC), and develops an improved extended Kalman filter algorithm for this problem. To compensate deficiencies of the simple polynomial fitting, the neural network algorithm firstly is adopted to simulate the relation curve between the SOC and the parameters of circuit model, which is constructed based on Thevenin circuit. And then the state space equation among the battery's SOC and the voltage of the ends of the RC loop is established, also does the measurement equation which is based on the battery output voltage. In addition, extended Kalman is applied to estimate battery SOC. In the last, the effectiveness of the proposed method is verified using an experimental testing, and the results show that our method can estimate the SOC more accurately comparing with the standard extended Kalman algorithm.
语种英语
引用统计
文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/19283
专题工业控制网络与系统研究室
通讯作者Shi G(石刚)
作者单位Laboratory of Industrial Control Network and System, Shenyang Institute of Automation, Shenyang, China
推荐引用方式
GB/T 7714
Shi G,Zhao W,Han ZH,et al. Estimation of battery SOC based on improved EKF algorithm[C]//Chongqing Global Union Academy of Science and Technology; Global Union Academy of Science and Technology; IEEE Beijing Section. Piscataway, NJ, USA:IEEE,2016:151-154.
条目包含的文件 下载所有文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
Estimation of batter(265KB)会议论文 开放获取CC BY-NC-SA浏览 下载
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Shi G(石刚)]的文章
[Zhao W(赵伟)]的文章
[Han ZH(韩忠华)]的文章
百度学术
百度学术中相似的文章
[Shi G(石刚)]的文章
[Zhao W(赵伟)]的文章
[Han ZH(韩忠华)]的文章
必应学术
必应学术中相似的文章
[Shi G(石刚)]的文章
[Zhao W(赵伟)]的文章
[Han ZH(韩忠华)]的文章
相关权益政策
暂无数据
收藏/分享
文件名: Estimation of battery SOC based on improved EKF algorithm.pdf
格式: Adobe PDF
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。