不同温度下磷酸铁锂电池的模型参数敏感性分析

Sensitivity analysis of model parameters of LiFePO4 battery at different temperatures

为实现电池的高精度状态估计,对磷酸铁锂电池进行了4个不同温度下的基础性能实验,同时设计了一种变温工况下获得全荷电状态(SOC)范围的开路电压实验方法,为建立考虑温度因素的二阶RC电池模型以及参数敏感性分析提供数据支持。此外,利用不同温度下的混合功率脉冲测试数据,基于粒子群优化算法辨识得到了不同温度下准确的模型参数。最后,基于单次单因子法对已建立的电池模型中各个参数进行敏感性分析,分析结果对考虑温度的参数辨识和状态估计工作具有借鉴意义。

In order to realize the high precision state estimation of battery,the basic performance experiments of LiFePO_(4)battery were carried out at four different temperatures.At the same time,an experimental method is designed to obtain the open circuit voltage of the full state of charge(SOC)range under variable temperature conditions,which provided data support for the establishment of the second-order RC battery model considering temperature factors and the parameter sensitivity analysis.In addition,using the test data of hybrid pulse power characterization at different temperatures,the accurate model parameters at different temperatures were identified based on the particle swarm optimization algorithm.Finally,the sensitivity analysis of each parameter in the established battery model was carried out based on the one factor of a time method.The analysis results can be used for reference for parameter identification and state estimation considering temperature.