Impact of micro-cycles on the lifetime of lithium-ion batteries: An experimental study

电池(电) 泄流深度 锂(药物) 离子 锂离子电池 吞吐量 材料科学 充电周期 荷电状态 电极 电气工程 核工程 机械 计算机科学 化学 工程类 热力学 物理 涓流充电 电信 功率(物理) 有机化学 无线 物理化学 内分泌学 医学
作者
Adrian Soto,Alberto Berrueta,Miren Mateos,Pablo Sanchis,Alfredo Ursúa
出处
期刊:Journal of energy storage [Elsevier]
卷期号:55: 105343-105343 被引量:20
标识
DOI:10.1016/j.est.2022.105343
摘要

Experimental aging studies are commonly conducted on lithium-ion batteries by full charge and discharge cycles. However, such profiles may differ from the actual operation of batteries in electric vehicles and stationary applications, where they are subjected to different partial charges and discharges. These partial cycles, which take place during a main charge or discharge process, are called micro-cycles if their depth of discharge is <2 %. A number of authors have pointed out the relevance of the time resolution to estimate the energy throughput of a battery due to these micro-cycles in applications such as renewable microgrids. However, to the best of our knowledge, there are no experimental studies in the literature that assess the impact of these micro-cycles on battery degradation. In this article, the impact of micro-cycles on the loss of performance of a lithium-ion battery is experimentally studied. The results show that micro-cycles have a negligible, or even positive effect on the aging of lithium-ion cells compared to the aging caused by full cycles. In fact, if charge throughput or equivalent full cycles are used to measure the use of a battery, then cells subjected to micro-cycles exhibit a 50 % extended lifetime compared to cells only subjected to full cycles. More precisely, cells including micro-cycles with depth of discharge of 0.5 % lasted for nearly 3000 equivalent full cycles, whereas cells aged under standard deep cycles lasted for no >1500. Nevertheless, if the number of deep cycles, disregarding micro-cycles, is the unit to measure battery use, then the degradation of cells with and without micro-cycles is similar. Based on this result, the number of cycles can be identified as a more accurate variable to measure the use of a cell, in comparison to charge throughput.
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