工矿自动化2013，Vol.39Issue(2)：43-47,5.DOI:10.7526/j.issn.1671-251X.2013.02.011
基于扩展卡尔曼滤波法的矿用可移动救生舱蓄电池荷电状态估计
State of charge estimation of battery in mine-used movable lifesaving cabin based on extended Kalman filtering method
摘要
Abstract
In view of problem of low precision in SOC estimation of battery in mine-used movable lifesaving cabin based on ampere hour method under condition of higher fluctuation of environment temperature or discharge current, the paper proposed a SOC estimation method of battery in mine-used movable lifesaving cabin based on extended Kalman filtering method. The method is basis on ampere hour method, takes factors of environment temperature and discharge current influencing estimation of SOC of battery as noises of battery system and uses optimal estimation recursive algorithm of extended Kalman filtering method to make real-time filtering and estimation for SOC of battery, which can improve estimation precision of SOC of battery. The experiment result showed that estimation result of SOC of battery used by the method is consistent with measured values and the method can applied to battery management system of mine-used movable lifesaving cabin.关键词
矿用可移动救生舱/蓄电池荷电状态/SOC估计/扩展卡尔曼滤波法/安时计量法Key words
mine-used movable lifesaving cabin/ state of charge of battery/ SOC estimation/ extended Kalman filtering method/ ampere hour method分类
矿业与冶金引用本文复制引用
王沙沙,娄高峰,唐霞,史丽萍,张恩锋..基于扩展卡尔曼滤波法的矿用可移动救生舱蓄电池荷电状态估计[J].工矿自动化,2013,39(2):43-47,5.基金项目
教育部科学技术研究重大项目(311021). （311021）
