摘要
锂离子电池内阻建模对研究电池热管理具有重要意义。充电内阻受温度、充电倍率等众多因素的影响,该文分析电池的内阻变化特性与多种影响因素(充电倍率、荷电状态以及温度)之间的关系,采用最小二乘法的二元多项式和三次样条插值算法对不同充电倍率、荷电状态以及温度下的电池充电内阻进行建模,并采用所建立的多因素动态内阻模型对不同状态下的充电内阻进行估算。实验结果表明,所建立的动态内阻模型获得的内阻估算值与实验值的最大误差不超过6mΩ,证明所提出的电池充电内阻建模方法的有效性。
Modeling the internal resistance of lithium-ion batteries is of great significance for the thermal management of batteries.The internal resistance of charging is affected by many factors such as temperature and charging rate.Therefore,the relationship between the battery's internal resistance change characteristics and various influencing factors(charging rate,state of charge and temperature)is analyzed.The binary polynomial method based on the least square and the cubic spline interpolation algorithm are used to calculate the battery charging internal resistance at different charging rates,SOC,and temperature.The dynamic model of the internal resistance of multi-factor dynamic charge is established,and the charging internal resistance is estimated in different states.The results show that the maximum error between the internal resistance estimated value by the dynamic model and the experimental value does not exceed 6 mΩ,which proves that the proposed method for modeling battery charging internal resistance is effective.
作者
潘海鸿
张沫
王惠民
冯喆
陈琳
Pan Haihong;Zhang Mo;Wang Huimin;Feng Zhe;Chen Lin(School of Mechanical Engineering Guangxi University,Nanning 530004,China;Guangxi Key Laboratory of Electrochemical Energy Materials Collaborative Innovation Center of Renewable Energy Materials,Nanning 530004,China)
出处
《电工技术学报》
EI
CSCD
北大核心
2021年第10期2199-2206,共8页
Transactions of China Electrotechnical Society
基金
国家自然科学基金(51667006)
广西自然科学基金(2015GXNSFAA139287)资助项目。
关键词
充电内阻
多因素
内阻模型
最小二乘
二元多项式
三次样条
Charging internal resistance
multiple factors
internal resistance model
least squares
binary polynomial
cubic spline
作者简介
潘海鸿,男,1966年生,教授,博士生导师,研究方向为动力电池系统信号采样及电池管理。E-mail:hustphh@163.com;通信作者:陈琳,女,1973年生,教授,博士生导师,研究方向为信号检测与处理和电池管理。E-mail:gxdxcl@163.com。
