摘要
在研究与分析电池极化现象对电池状态(SOC)估算影响的基础上,提出一种扩展Kalman滤波(EKF)的算法对SOC进行估算,在Thevenin改进模型的基础上建立了电池的非线性状态空间方程,通过比较电池实际端电压和估算端电压的差值,修正安时积分法得到的SOC值,使得极化效应对SOC估算精度的影响大大减弱。仿真分析结果表明,此方法提高了电池SOC计算的精度。
The polarization phenomenon of battery affecting the SOC estimation was analyzed. The algorithm of extend Kalman filter was applied to predict SOC of lithium-ion. A battery nonlinear dynamic model in discrete-time state-space form was built based on the improved Thevenin model. The SOC value was obtained by comparing the difference amongthe actual battery voltage and estimated voltage and coulomb counting method. The polarization was weakened mostly by the improved algorithm of state SOC. The test results show that the SOC accuracy can really be increased by this new way.
出处
《电源技术》
CAS
CSCD
北大核心
2014年第2期237-238,244,共3页
Chinese Journal of Power Sources
