电池(电)
磷酸铁锂
泄流深度
电流(流体)
充电周期
阿累尼乌斯方程
恒流
锂(药物)
使用寿命
电压
荷电状态
电气工程
核工程
材料科学
汽车工程
环境科学
工程类
可靠性工程
热力学
化学
涓流充电
活化能
物理
医学
功率(物理)
有机化学
内分泌学
作者
Noshin Omar,Mohamed Abdel Monem,Yousef Firouz,Justin Salminen,Jelle Smekens,Omar Hegazy,Hamid Gaulous,Grietus Mulder,Peter Van den Bossche,Thierry Coosemans,Joeri Van Mierlo
出处
期刊:Applied Energy
[Elsevier]
日期:2013-10-05
卷期号:113: 1575-1585
被引量:620
标识
DOI:10.1016/j.apenergy.2013.09.003
摘要
This paper represents the evaluation of ageing parameters in lithium iron phosphate based batteries, through investigating different current rates, working temperatures and depths of discharge. From these analyses, one can derive the impact of the working temperature on the battery performances over its lifetime. At elevated temperature (40 °C), the performances are less compared to at 25 °C. The obtained mathematical expression of the cycle life as function of the operating temperature reveals that the well-known Arrhenius law cannot be applied to derive the battery lifetime from one temperature to another. Moreover, a number of cycle life tests have been performed to illustrate the long-term capabilities of the proposed battery cells at different discharge constant current rates. The results reveal the harmful impact of high current rates on battery characteristics. On the other hand, the cycle life test at different depth of discharge levels indicates that the battery is able to perform 3221 cycles (till 80% DoD) compared to 34,957 shallow cycles (till 20% DoD). To investigate the cycle life capabilities of lithium iron phosphate based battery cells during fast charging, cycle life tests have been carried out at different constant charge current rates. The experimental analysis indicates that the cycle life of the battery degrades the more the charge current rate increases. From this analysis, one can conclude that the studied lithium iron based battery cells are not recommended to be charged at high current rates. This phenomenon affects the viability of ultra-fast charging systems. Finally, a cycle life model has been developed, which is able to predict the battery cycleability accurately.
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