摘要
提出一种基于Thevenin改进模型的扩展卡尔曼滤波(Extended Karlman Filter,EKF)的SOC(State Of Charge)估算方法,设定不同SOC条件下利用脉冲响应测试法进行电路模型参数辨识,估算过程中采用查表法对电池放电不同阶段及不同倍率放电电流进行滤波增益修正.在Matlab/Simulink中搭建电池仿真模型,编程实现了SOC估算,验证了模型的有效性.实验结果表明,该方法在SOC的估算过程中能够保持很好的精度.
A new estimation method of extended Karlman filter （EKF） based on Thevenin im- proved model was proposed. This method was based on impulse response test method to identify the parameters of the circuit model under different SOC conditions. In the estimation process, we used look-up table to correct the gain of the battery discharge at different stages and discharge rates at dif- ferent rates. The battery simulation model was built in Matlab/Simulink, and the SOC estimation was realized by programming, and the validity of the model was verified. The experimental results showed that the method can keep a good precision in the estimation of SOC.
作者
陈清华
卢宇
何志杰
CHEN Qing-hua;LU Yu;HE Zhi-jie(Concord University College,Fufian Normal University,Fuzhou 350117,China;College of Physics and Energy,Fujian Normal University,Fuzhou 350117,China)
出处
《福建师范大学学报（自然科学版）》
CAS
CSCD
北大核心
2018年第6期34-39,46,共7页
Journal of Fujian Normal University：Natural Science Edition
基金
福建省产学引导性项目(2017H0011)
福建省教育厅资助项目(JK2016008)
