摘要
对新能源汽车动力电池进行有效的配组,可以提升电池组的循环寿命。本文提出了一种基于主成分分析的动力电池配组方法,利用主成分分析算法计算出每一个动力电池参数变量的权值,将每一个参数变量的权值与该变量下电池所在档次的评估分相乘,得到每个单体电池的加权评估分。最后,按照加权评估分和电池类别进行近分筛选和配组。实测表明,相比随机配组方法,本文提出的方法可以有效地提升动力电池组的循环寿命。
The cycle life of the battery pack can be improved by the effective grouping method of the power battery of the new energy vehicle.A grouping method of lithium-ion battery based on principal component analysis is proposed in the paper.Principal com⁃ponent analysis is used to calculate each battery parameter variable’s weights.Every battery’s weighted assessment score is gener⁃ated by multiplication of each parameter variable weight and battery’s grade assessment score.Finally,batteries with similar scores are screening and grouping by using weighted assessment scores and battery classes.The experimental result shows that the proposed method can effectively improve the cycle life of the power battery pack compared with the random grouping method.
作者
章博
吴晶
赵生薇
严家豪
张朝龙
ZHANG Bo;WU Jing;ZHAO Sheng-wei;YAN Jia-hao;ZHANG Chao-long(School of Electronic Engineering and Intelligent Manufacturing,Anqing Normal University,Anqing 246011,China)
出处
《电脑知识与技术》
2021年第3期232-233,244,共3页
Computer Knowledge and Technology
基金
安徽高校协同创新项目(GXXT-2019-002)
2020年安徽省大学生创新创业训练计划项目(S202010372125X)
安徽省高等学校虚拟仿真实验教学项目(2019xfxm59)。
关键词
主成分分析
锂离子电池
配组
加权评估分
Principal component analysis
Lithium-ion battery
Grouping
Weighted assessment score
