锂电池电化学传递函数模型建模及参数辨识  

Modeling and parameter identification of electrochemical transfer function model for lithium battery

作　　者：杨俊[1] 张希[1] 高一钊 YANG Jun;ZHANG Xi;GAO Yi-zhao(National Engineering Laboratory for Automotive Electronic Control Technology, Shanghai Jiao Tong University, Shanghai 200240, China)

机构地区：[1]上海交通大学汽车电子控制技术国家工程实验室

出　　处：《电源技术》2019年第7期1132-1135,共4页Chinese Journal of Power Sources

基　　金：国家自然科学基金项目(51677118);国家重点研发计划重点专项(2017YFE0102000);上海市政府间国际合作项目(16510711500)

摘　　要：为了建立高精度锂电池模型及确定电池参数,以锂电池电化学方程为基础,通过拉氏变换和帕德近似等方法,提出了基于动态响应的电化学传递函数模型。利用扫描电镜(SEM)观察拆解后的电池内部微观结构,确定了电池部分物理参数。将传递函数模型与等效电路模型进行匹配,利用含有遗忘因子的递推最小二乘法辨识了电解液扩散系数及体积分数。将获得的电池参数带入模型中,通过对比模型在不同工况下的仿真结果与实验结果,验证了所辨识的电池参数与模型的正确性。The electrochemical transfer function model based on dynamic response was proposed to establish high accuracy lithium battery model. The Laplace transform and Pade approximation methods were applied in electrochemical govern equations to solve the voltage expression. The SEM test was conducted to view the inner structure of an opened battery and measure some physical parameters. By combining the electrochemical transfer function model with the equivalent circuit model, the diffusion coefficient and volume fraction of the electrolyte were identified by the recursive least square (RLS) method with forgetting factor. The model was simulated under various working conditions, and the correctness of the battery parameters identified with RLS was validated by the comparison between simulation and experiment result.

关 键 词：电化学模型 帕德近似 传递函数 递推最小二乘法 参数辨识 

分 类 号：TM912[电气工程—电力电子与电力传动]