LiFePO4 Battery Pack Capacity Estimation for Electric Vehicles Based on Unscented Kalman Filter | |
Zhao Lei; Xu Guoqing; Li Weimin; Taimoor Zahid; Song Zhibin | |
2013 | |
会议名称 | 2013 IEEE International Conference on Information and Automation, ICIA 2013 |
会议地点 | Yinchuan, China |
英文摘要 | As is known to all, an accurate on-line estimation of the battery capacity is important for forecasting the EV driving range. But because of the different driving environment and the property of the battery, it is hard to estimate the capacity of the battery pack. This paper presents an unscented Kalman filtering method to estimate the state of charge of LiFePO4 battery pack. Five comparison experiments with different open circuit voltage curves shows that the unscented Kalman filter has a better performance than extended kalman filter. |
收录类别 | EI |
语种 | 英语 |
内容类型 | 会议论文 |
源URL | [http://ir.siat.ac.cn:8080/handle/172644/4549] |
专题 | 深圳先进技术研究院_集成所 |
作者单位 | 2013 |
推荐引用方式 GB/T 7714 | Zhao Lei,Xu Guoqing,Li Weimin,et al. LiFePO4 Battery Pack Capacity Estimation for Electric Vehicles Based on Unscented Kalman Filter[C]. 见:2013 IEEE International Conference on Information and Automation, ICIA 2013. Yinchuan, China. |
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