北京交通大学学报2016，Vol.40Issue(4)：92-98,7.DOI:10.11860/j.issn.1673-0291.2016.04.014
基于开路电压特性的动力电池健康状态诊断与估计
State of health diagnosis and estimation of power lithium-ion batteries based on open circuit voltage characteristic
摘要
Abstract
Due to the complex configuration for battery system and demanding and uncertain oper-ation conditions,it is still very challenging to understand battery aging process and related degra-dation mechanisms.In order to ensure the efficient,reliable and safe operation of the battery sys-tem,effective diagnosis and estimation of the battery state of health (SOH)is essential for the accurate battery management and control.Here the changes of open circuit voltage (OCV)char-acteristic is analyzed to establish a quantitative relationship between battery capacity fade and its degradation mechanisms,using in-situ electrochemical analysis methods,such as incremental ca-pacity analysis and differential voltage analysis.Then a more realistic and accurate diagnosis of battery SOH from the perspective of the degradation mechanism is done.And a capacity estima-tion model based on OCV is proposed for battery SOH estimation,which not only captures the electrochemical reaction characteristics at different cell aging stages but also has high accuracy and robustness.The results show that the model errors are less than 4% of the nominal capacity during the whole life span of the batteries.关键词
锂离子电池/健康状态/容量增量分析/差分电压分析/容量估计模型Key words
lithium-ion battery/state of health/incremental capacity analysis/differential voltag-eanalysis/capacity estimation model分类
信息技术与安全科学引用本文复制引用
姜久春,马泽宇,李雪,张彩萍,张维戈..基于开路电压特性的动力电池健康状态诊断与估计[J].北京交通大学学报,2016,40(4):92-98,7.基金项目
国家自然科学基金面上项目资助(51277010) （51277010）
