内容：
 电池模型及参数辨识是电动汽车动力电池进行充、放电优化控制的基础,同时模型参数受充、放电工况的影响。为对充电模态下的电动汽车动力电池进行建模与参数辨识,对动力电池建模方法、模型参数辨识算法展开研究,建立基于电极阻抗谱理论的可变阶次电池等效电路模型,提出基于遗忘因子扩展递推最小二乘算法(FFRELS)的模型参数辨识算法,构建基于贝叶斯信息准则(BIC)的电池模型最优阶次选择算法,创建基于晶格气体模型(LGM)的电池开路电压模型,对电池模型参数辨识算法进行修正,实现了充电模态下的电池模型参数辨识与最优阶次选择。仿真结果证明了该方法的有效性。Battery model and parameter identification is the basis of electric vehicle battery charging and discharging optimization control, while the model parameters are affected by the charge and discharge conditions. In order to model and identify the electric power battery of the electric vehicle under the charging mode, the equivalent battery model of the variable order battery based on the electrode impedance spectroscopy is established, and the equivalent circuit model of the variable order battery is established. Based on the forgetting least squares (FFRELS) model parameter identification algorithm of forgetting factor, the optimal order selection algorithm of battery model based on Bayesian Information Criterion (BIC) is constructed to create a battery based on lattice gas model (LGM) Open circuit voltage model, the battery model parameter identification algorithm is modified to achieve the charging mode of the battery model parameter identification and optimal order selection. The simulation results show the effectiveness of the proposed method.

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