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当前位置: 首页 > 文章 > 车载铅酸蓄电池SOC和SOH的在线估算 农业装备与车辆工程 2017,55 (10) 19-24
Position: Home > Articles > Research on SOC and SOH Estimation of Vehicle Lead-Acid Battery Agricultural Equipment & Vehicle Engineering 2017,55 (10) 19-24

车载铅酸蓄电池SOC和SOH的在线估算

作  者：
王跃飞;黄磊;舒成才;章楠;夏敬保
关键词：
铅酸蓄电池;卡尔曼滤波;荷电状态;健康状态
摘  要：
为提高铅酸蓄电池SOC和SOH估算精度,基于Randles铅酸蓄电池模型,采用卡尔曼滤波算法(KF)对该模型参数进行辨识,利用辨识的参数离线估计蓄电池的SOH和开路电压V_(oc)。利用不同SOH下的蓄电池SOC和开路电压V_(oc)之间的关系曲线(SOC-V_(oc)),对蓄电池的SOC进行估计。进行了相关的蓄电池测试实验。实验结果表明,此种SOH、SOC估算的方法具有较高的可靠性和可行性,SOH和SOC的估计精度分别为4.58%和5.05%,具有很高的准确性。
译  名：
Research on SOC and SOH Estimation of Vehicle Lead-Acid Battery
作  者：
Wang Yuefei;Huang Lei;Shu Chengcai;Zhang Nan;Xia Jingbao;School of Mechanical Engineering, Hefei University of Technology;School of Automotive and Traffic Engineering, Hefei University of Technology;
关键词：
lead-acid battery;;Kalman filter(UKF);;State of Charge(SOC);;State of Health(SOH)
摘  要：
In order to estimate the State of Health(SOH) and the State of Charge(SOC)of lead-acid battery, based on Randles' lead-acid battery model, the Kalman Filter(KF) is used to identify the parameters of this model, the SOH and open circuit voltage(V_(oc)) of battery are estimated offline by using these identified parameters. By using SOC-V_(oc) correlation curves under different SOH values, the battery SOC is estimated. Relevant battery test experiments are carried out. Experimental results demonstrate that the method of SOH and SOC estimation has high reliability and feasibility, the estimation accuracies of SOC and SOH are 4.58% and 5.05% respectively, the precision is extremely high.

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