A Novel Measurement Method for the Self-Discharge of Lithium-Ion Cells Employing an Equivalent Resistance Model

Author:

Xu Bin,Tu YanORCID,Li Jinhua,Zhang Bo,Zhang Wei,Liu Kai

Abstract

Self-discharge is an important indicator to evaluate the quality of lithium-ion cells. This paper proposes a novel method to quickly measure the self-discharge of lithium-ion cells. A self-discharge equivalent model is developed for analyzing self-discharge measurement requirements. The load capacitance in the model is obtained by using the characteristic curve of open circuit voltage and state of charge. Based on the relationship between the weak current and time of the cell in the charging state, the self-discharge resistance is quickly determined. The corresponding measurement process is introduced. The first experiment preliminarily verifies the plausibility of the load capacitance measurement method proposed in this paper. The second experiment uses this new method to investigate the self-discharge dependence of state-of-charge and further analyzes the influence of load capacitance accuracy on measurement. In order to verify the efficiency and accuracy of the new method, a comparison experiment is conducted by three typical methods and the new method. The results show that this new method is useful; the difference between the results is acceptable while the required measurement time is shortened to less than 6 h.

Publisher

The Electrochemical Society

Subject

Materials Chemistry,Electrochemistry,Surfaces, Coatings and Films,Condensed Matter Physics,Renewable Energy, Sustainability and the Environment,Electronic, Optical and Magnetic Materials

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3