Battery State of Charge online Estimation based on Particle Filter
Battery state of charge estimation is one of the key techniques to battery manage system. An accurate estimation of the state of charge can help to improve the performance of the battery and increase the security of the electric vehicle. A particle filter based battery state of charge estimation method is proposed in this paper. The battery is looked on as a nonlinear dynamic system and the state of charge of the battery is used as the only state variable in it. Two models are used to describe the dynamics of the system, one is the state transmission model and the other is the measurement model which describes the relationship between the state of charge and the terminal voltage, the discharge current, etc. Experiment results show that the proposed method is effective and efficient.
state of charge battery management system particle filter
Mingyu Gao Yuanyuan Liu Zhiwei He
College of Information Engineering Wuhan University of Technology Wu Han, China College of Electroni College of Electronic Information Hangzhou Dianzi Universiyt Hangzhou, China
国际会议
2011 4th International Congress on Image and Signal Processing(第四届图像与信号处理国际学术会议 CISP 2011)
上海
英文
2261-2264
2011-10-15（万方平台首次上网日期，不代表论文的发表时间）