摘要
针对三元锂电池自放电行为难以避免、直接检测不便及成组后影响电池组不一致性等问题,提出以温度-放电电压为输入,结合拟合参数预测三元锂电池自放电量。设定实验温度,对电芯进行实验并记录对应温度下电压和放电量的数据。基于实验数据,利用正弦曲线拟合处理同一温度下的电压和放电量数据,得到相关参数;利用傅里叶函数对7种温度和各相关参数进行拟合,结合2种算法提升其自放电量的预测精度。结果表明:正弦曲线拟合对电压和放电量的拟合精度在0.9888以上,傅里叶拟合对相关参数与温度的拟合优度在0.87以上。所提预测方法的精度能达到0.85以上,预测精度较高,缩短了检测时间,对检测电池自身缺陷及延长电池组使用寿命具有重要的现实意义。
In view of the inevitable self-discharge behavior,the inconvenience of direct detection and the inconsistency of the battery pack after grouping of ternary lithium batteries it is proposed to use temperature-discharge voltage as input and combined with fitting parameters to predict the selfdischarge of ternary lithium batteries.Data about the voltage and discharge are recorded during the testing of the cell at the preset temperature.Based on the experimental data,using sine curve fitting to process the voltage and discharge data at the same temperature,and the relevant parameters are obtained;Fourier function is used to fit seven kinds of temperature and related parameters,and two kinds of algorithms are combined to improve the prediction accuracy of self-discharge.The results show that the fitting accuracy of sine curve fitting to voltage and discharge is more than 0.9888,and that of Fourier fitting to relevant parameters and temperature is more than 0.87.The accuracy of the prediction method can reach more than 0.85,the prediction accuracy is high,the detection time is shortened,and it is of great practical significance to detect the defects of the battery itself and extend the service life of the battery pack.
作者
刘宗锋
姜宁
汪卫东
延忠磊
王树凤
王强
LIU Zongfeng;JIANG Ning;WANG Weidong;YAN Zhonglei;WANG Shufeng;WANG Qiang(College of Transportation,Shandong University of Science and Technology,Qingdao 266590,China;Qingdao GuoXuan Battery Co.,Qingdao 266600,China;Qingdao Branch of BAIC Bjev Co.,Ltd.,Qingdao 266600,China)
出处
《重庆理工大学学报（自然科学）》
CAS
北大核心
2021年第1期25-30,共6页
Journal of Chongqing University of Technology：Natural Science
基金
山东省重点研发计划资助项目(2016GGX105008)。
关键词
三元锂电池
自放电量
正弦曲线拟合
傅里叶拟合
预测
温度
ternary lithium battery
self discharge
sine curve fitting
Fourier fitting
prediction
temperature
