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In view of the high estimation error of the initial value of the charge state SOC (State of Charge) of the battery Calman filtering algorithm may lead to the poor early convergence, the correlation degree of the battery resistance, voltage and current parameters about the SOC is calculated by analyzing the experimental data of battery discharge, and the correlation degree is the most. The high internal resistance parameter is the independent variable of the initial SOC estimate. Then the initial SOC estimate is replaced by the extended Calman filtering algorithm constructed by the two order equivalent circuit model, and SOC estimation is carried out. Finally, the accuracy of SOC estimation is verified by the electrical test platform, and the method is compared with the voltage parameter as the initial SOC estimation variable. The experimental results show that the initial estimation value of the internal resistance method is closer to the real value than the initial estimation value of the voltage method. As the starting value of the Calman filtering algorithm, the estimation accuracy of the initial charge state can be improved more.