基于损失递推计算的电池组老化轨迹模型研究

Aging prediction for battery pack based on loss recursive calculation

准确的电池储能系统老化轨迹预测对于系统的可靠运行与优化管理至关重要。为此,提出了基于活性锂损失递推计算的电池组老化轨迹预测模型。在电池单体方面,在经典等效电路模型的基础上,通过对各模型参数与容量损失量之间的机理关系的表征,结合电池活性锂损失递推计算方法,将经典模型的适用范围扩展至电池全生命周期。在所建单体模型基础上,进一步结合蒙特卡罗方法表征电池组内的不一致参数,建立起电池组的整体老化轨迹模型。最后,通过电池组在不同使用条件及不同成组结构下的老化实验,验证了新模型对电池老化轨迹预测的准确性。

Accurate aging trajectory prediction of battery energy storage system is very important for the reliable operation and optimal management of the system.In this paper,a novel aging trajectory prediction model of battery pack is proposed based on the recursive calculation of lithium inventory loss.First,by characterizing the mechanism relationship between model parameters and battery capacity loss which will be recursively calculated,the application scope of classical equivalent circuit model is extended to cell’s whole-life time.Second,based on the cell model,a Monte Carlo method is used to characterize the inconsistent parameters in the different cell within the same pack,and the overall aging trajectory model for battery pack is established.Finally,the accuracy of the new pack model is verified by aging experiments under different operating conditions and different group structures.