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

机译:一种使用简单迭代和库仑计数方法的SoC的新颖算法

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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.
机译:基于模型的电荷状态(SOC)估计电池的估计算法深入研究,可以保证精度。然而,随着许多技术融合以增强SOC估计的稳健性和准确性,巨大的计算负担是不可避免的。本文提出了一种高精度基于模型的SOC估计算法,提出了高精度和低得多的计算负担。与现有的基于模型的算法不同,例如扩展Kalman滤波器和H-Innite滤波器以估计SOC,以所提出的算法引入了数值迭代方法。相比之下,新颖的算法可以减少超过90%的计算负担,同时保持高SoC精度。

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