【摘要】 为了更准确估计锂电池的SOC，从两方面考虑，即模型选择和估计算法。首先，为了减小由于模型引起的估计误差，采用带有遗忘因子的递推最小二乘法对二阶RC等效电路模型参数进行在线辨识，实现锂电池模型参数的自适应。其次，针对SOC的估计，提出了基于EKF结合AHI法实现加权在线估计。实验表明所提方法相比其中单一算法具有更高的估计精度和稳定性，尤其是提高了低SOC区间的估计精度，验证了所提算法的有效性。更多还原

【Abstract】 In order to estimate the SOC of lithium battery more accurately,this paper considers two aspects:model selection and estimation algorithm.Firstly,in order to reduce the estimation error caused by the model,the recursive least square method with forgetting factor is used to identify online the second-order RC equivalent circuit model parameters,so as to realize the self-adaptive of the lithium battery model parameter.Secondly,for SOC estimation,a weighting online estimation based on EKF and AHI is proposed.Experiments show that the proposed method has higher estimation accuracy and stability than the single algorithm,especially the estimation accuracy of low SOC interval,and verifies the effectiveness of the proposed algorithm.更多还原