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In terms of the problem that the SOC (State of Charge) of lithium ion battery is difficult to estimate, conduct fitting toward the model parameters of SOC at different moments to get dynamic model parameters through establishing equivalent Thevenin circuit model toward the battery. Establish simulation model in Matlab with the help of Simulink and apply modular construction to establish battery SOC estimation system based on Kalman filtering algorithm; the simulation system can directly estimate the real-time battery SOC with the measured battery voltage and current. Compare with the actual battery SOC and if the error maintains within 2.5%, it indicates that the method can effectively estimate the battery SOC and it is significant for the capacity estimation of lithium ion battery in practical application.