A Novel Algorithm for SOC using Simple Iteration and Coulomb Counting Method

Model-based state of charge (SOC) estimation algorithms for batteries have been researched in depth, and the accuracy can be guaranteed. However, as many technologies are fused to enhance the robustness and accuracy of SOC estimation, the huge calculation burden is inevitable. In this paper, a novel model-based SOC estimation algorithm with high accuracy and much lower calculation burden is proposed. Different from existing model-based algorithms such as extend kalman filter and H-infinite filter to estimate SOC, the numerical iterative method is introduced in the proposed algorithm. In comparison, the novel algorithm can reduce more than 90% calculation burden while keeping a high SOC accuracy.