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安时积分法和EKF结合的锂电池SOC估计

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针对SOC估计方法的算法复杂度和精度之间的矛盾,以及电流累计误差等问题,提出EKF算法和安时积分法适时切换的SOC估计方法.该方法通过分析锂离子电池的一阶戴维南等效模型,使用复合脉冲电池放电试验对模型参数进行辨识,建立基于EFK的SOC估计模型,并设计出算法流程.安时积分法和EFK的SOC估计将根据电池管理系统的不同工况交替进行.验证试验结果表明该方法的SOC估计误差小于 1.5%,能够以较少的计算资源达到较高的估计精度,安时积分法产生积累误差在进行EFK估计时得以消除.
SOC Estimation of Lithium Battery by Combining Ampere-Hour Integration Method with EKF
Aiming at the contradiction between the algorithm complexity and accuracy of SOC esti-mation method,and the accumulated error of current,a SOC estimation method with timely switching between EKF algorithm and ampere-hour integration method is proposed.In the method,the first-order Thevenin equivalent model of lithium-ion battery is analyzed,and the model parameters are identified by compound pulse battery discharge test,and the SOC estimation model based on EFK is established,and the algorithm flow is designed.The ampere-hour integration method and EFK SOC estimation will be carried out alternately according to different working conditions of the battery management system.The verification test results show that the SOC estimation error of the method is less than 1.5%,and it can achieve higher estimation accuracy with less computing resources.The accumulated error caused by ampere-hour integration method can be eliminated in EFK estimation.

SOC estimationThevenin modelKalman filterAmpere-hour integration method

龙振弘

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三明教育学院信息技术处,福建三明,365000

SOC估计 戴维南模型 卡尔曼滤波 安时积分法

2024

微处理机
中国电子科技集团公司第四十七研究所

微处理机

影响因子:0.183
ISSN:1002-2279
年,卷(期):2024.45(1)
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