The analysis of modeling of dual Kalman filter in lithium battery SOC estimates

摘要

Dual Kalman filter (DEKF) algorithm is analysed on this paper to online estimate the state of charge of lithium battery. After introducing the estimation methods international used currently, we choose an appropriate equivalent circuit model of lithium battery and identify the parameters by least square method. By building the Kalman filter state space equation of lithium battery SOCand battery internal resistance R0, we form a dual Kalman filter algorithm that can estimate battery SOC with higher precesion. And then, the workflow of this algorithm is given, which demonstrates the feasibility of online state estimate and ease of programming. © (2014) Trans Tech Publications, Switzerland.