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In order to solve the problem of heavy calculation burden and large consumption of microcontroller cost that faced in current algorithm of state of charge (SoC) estimation. Increasing time scale of estimation and parameters identification is proposed to estimate SoC. The recursive least squares algorithm with forgetting factor is used to identify battery model and estimate the SoC. The influence of different sizes of time scales for the accuracy of SoC estimation is explored. Simulation results show with the increase of identified time scale and estimated time scale, the accuracy of SoC decrease and calculation burden decline rapidly, the computing time present an exponential decay. An oversize time scale can't guarantee SoC estimation accuracy, the computing time is not decay obviously and the convergence time is long, Comprehensive consideration of estimation accuracy and computing time, an optimal time scale can be achieved which can reduce calculation burden, and ensure accuracy of SoC estimation. The method provides theory basis for subsequent implementation of online SoC estimation in electric vehicles. 