储能系统锂电池电热耦合建模及参数辨识方法研究

STUDY ON ELECTROTHERMAL COUPLING MODELING AND PARAMETER IDENTIFICATION OF LITHIUM BATTERY ENERGY STORAGE SYSTEM

针对电化学机理模型存在全阶结构复杂度高、电池温度变化过程无法精确描述的问题,该文提出将简化电化学模型与热力学模型耦合,建立简化电化学-热力学耦合模型,通过智能辨识算法获取模型相关参数。实验表明,该方法建立的模型在宽环境温度范围、常用放电倍率工况下仿真曲线与实际测试曲线的拟合效果较好,能较好地描述电池电压、电流和温度变化。该模型以较低的模型复杂度和较高的模型精度描述电池内部电化学、热力学行为,可支撑电池状态估计和剩余寿命预测研究。

In order to solve the problems of high full-order structure complexity of the existing electrochemical mechanism models and the inability to accurately describe the battery temperature change process,a simplified electrochemical model coupled with the thermodynamic model is proposed in this paper.Firstly,the simplified electrochemical-thermodynamic coupling model is established.Then,the relevant parameters of the model are obtained through intelligent identification algorithm.The experimental results show that the model established by this method has a good fitting effect between the simulated curve and the actual test curve under a wide ambient temperature range and common discharge rate conditions,and can describe the changes of battery voltage,current and temperature field.This model describes the electrochemical and thermodynamic behavior of batteries with low complexity and high precision,which is beneficial to the subsequent research of battery state estimation and remaining life prediction.