| 基于模糊卡尔曼滤波的HEV氢镍电池SOC估计 |
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| 引用本文： | 李德东,王振臣,郭小星.基于模糊卡尔曼滤波的HEV氢镍电池SOC估计[J].电源技术,2011,35(2). |
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| 作者姓名： | 李德东 王振臣 郭小星 |
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| 作者单位： | 燕山大学,电院,工业计算机控制工程,河北省重点实验室,河北,秦皇岛,066004 |
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| 摘 要： | 混合动力汽车(HEV)电池管理系统工作于恶劣工况环境中,采用常规卡尔曼滤波算法估计电池荷电状态(SOC)时,量测噪声统计特性随实际工况条件剧烈变化,会导致估测不准,甚至滤波发散.采用基于模糊自适应卡尔曼滤波的氢镍动力电池SOC估算算法,通过监视理论残差与实际残差的比值,对量测噪声协方差阵进行递推在线修正,使其逐渐逼近真实噪声水平,从而使滤波器执行最优估计,提高估算精度.仿真结果表明,这种算法对随机的量测噪声具有较强的抑制能力.
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| 关 键 词： | 混合动力电动汽车 模糊卡尔曼滤波 氢镍电池 荷电状态 |
Estimation of SOC of Ni-MH batteries based on fuzzy adaptive Kalman filtering for HEV |
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| LI De-dong,WANG Zhen-chen,GUO Xiao-xing.Estimation of SOC of Ni-MH batteries based on fuzzy adaptive Kalman filtering for HEV[J].Chinese Journal of Power Sources,2011,35(2). |
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| Authors: | LI De-dong WANG Zhen-chen GUO Xiao-xing |
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| Affiliation: | LI De-dong,WANG Zhen-chen,GUO Xiao-xing(Key Lab of Industrial Computer Control Engineering of Hebei Province,Yanshan University,Qinhuangdao Hebei 066004,China) |
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| Abstract: | Hybrid electric vehicle(HEV) battery management system works in bad condition environment,when using the conventional Kalman filtering algorithms estimating SOC(state of charge) of batteries,the acute changes of the statistical properties of measurement noise will lead to inaccurate estimates,even divergent filtering.The estimation algorithm for SOC of Ni-MH batteries based on the fuzzy adaptive Kalman filter was used in this paper.By monitoring the filter residual and actual residual,this algorithm modifie... |
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| Keywords: | HEV fuzzy adaptive Kalman filtering Ni-MH batteries SOC |
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