基于VFFRLS参数辨识的蓄电池三维电热耦合模型

Three-dimensional electro-thermal coupling model for batteries based on VFFRLS parameter identification

随着锂离子电池在现代生产中广泛应用,为了精确分析锂电池放电过程中三维温度场分布与电压特性,基于二阶RC等效电路模型,利用可变遗忘因子递推最小二乘法(VFFRLS)对锂离子蓄电池参数进行在线辨识和实时修正,结果表明仿真电压数据与实测电压数据最大误差为0.0862 V,最大相对误差为2.53%,具有较高辨识精度。并将参数辨识结果传递到COMSOL中进行三维电热耦合模型仿真实验,实验表明不同放电倍率下圆柱形锂离子电池内部中心温度高于外部温度,外表面及上下底面温度略低,正负极柱温度最低。

With the wide application of lithium-ion batteries in modern production,in order to accurately analyze the three-dimensional temperature field distribution and voltage characteristics during the discharge process of lithium batteries,based on the second-order RC equivalent circuit model,the variable forgetting factor recursive least squares method(VFFRLS)was used.On-line identification and real-time correction of lithium-ion battery parameters were carried out.The results show that the maximum error between the simulated voltage data and the measured voltage data is 0.0862 V,and the maximum relative error is 2.53%,which has high identification accuracy.The parameter identification results were transferred to COMSOL for 3D electrothermal coupled model simulation experiments.The experiments show that under different discharge rates,the inner center temperature of the cylindrical lithium-ion battery is higher than the outer temperature,the outer surface and upper and lower bottom surface temperatures are slightly lower,and the positive and negative terminal temperatures are the lowest.