A Battery State of Charge Estimation Method with Extended Kalman Filter
文献类型：会议论文
| 作者 | Zhang F(张飞); Liu GJ(刘光军) ; Fang LJ(房立金)
|
| 出版日期 | 2008 |
| 会议名称 | IEEE/ASME International Conference on Advanced Intelligent Mechatronics |
| 会议日期 | July 2-5, 2008 |
| 会议地点 | XIan, China |
| 关键词 | Battery state of charge extended Kalman filter state estimation |
| 页码 | 1008-1013 |
| 中文摘要 | In this paper, a battery State of Charge (SOC) estimation method based on the extended Kalman filter is proposed. In some known battery SOC estimation methods, it is assumed that the relationship between battery open circuit voltage and SOC is linear and static. However, this relationship is only piecewisely linear in practice and varies with the ambient temperature, as assumed in this work. The proposed model assumption matches better with the real battery behavior. A battery is modeled as a nonlinear system, with the SOC defined as a system state. The extended Kalman filter is applied to estimate SOC directly for a lithium battery pack. The effectiveness of the proposed method is verified on a power transmission line inspection robot. The experimental results verify the effectiveness of the proposed method. |
| 收录类别 | EI ; CPCI（ISTP） |
| 产权排序 | 1 |
| 会议主办者 | IEEE |
| 会议录 | 2008 IEEE/ASME INTERNATIONAL CONFERENCE ON ADVANCED INTELLIGENT MECHATRONICS, VOLS 1-3
 |
| 会议录出版者 | IEEE |
| 会议录出版地 | NEW YORK |
| 语种 | 英语 |
| ISBN号 | 978-1-4244-2494-8 |
| WOS记录号 | WOS:000260084300175 |
| 源URL | [http://ir.sia.cn/handle/173321/8465]  |
| 专题 | 沈阳自动化研究所_机器人学研究室 |
| 推荐引用方式 GB/T 7714 | Zhang F,Liu GJ,Fang LJ. A Battery State of Charge Estimation Method with Extended Kalman Filter[C]. 见:IEEE/ASME International Conference on Advanced Intelligent Mechatronics. XIan, China. July 2-5, 2008. |
入库方式： OAI收割
来源：沈阳自动化研究所
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