Effect Analysis of Recycling and Storage Conditions on Graphite/LiCoO2 Battery Life

doi:10.11985/2022.02.005

Abstract

Abstract:

Lithium-ion batteries are used for energy storage in a wide array of applications, and the effects of battery ageing limit their performance and occur throughout their whole life. On the one hand, the influence of the average SOC and SOC changes(∆SOC) on the available capacity decay of lithium-ion batteries is quantified by analyzing the data of the graphite/LiCoO₂ batteries in different state of charge(SOC) ranges, and a cycle aging model is established. On the other hand, by analyzing the test data of different SOC storage states and different storage temperature life of graphite/LiCoO₂ batteries, the influence of storage condition changes on the decay process of lithium battery state of health is revealed, and a calendar aging model is established. The analysis results can be applied to the actual battery cycle use and static storage optimization settings.

Key words: Lithium-ion battery(LIB), state of charge(SOC), cycle aging, calendar aging

CLC Number:

TM912

ZHANG Bozhao, GOU Bin, XU Yanzhang. Effect Analysis of Recycling and Storage Conditions on Graphite/LiCoO₂ Battery Life[J]. Journal of Electrical Engineering, 2022, 17(2): 38-48.

Figures/Tables 15

References 24

[1]	赵显赫, 耿光超, 林达, 等. 基于数据驱动的锂离子电池健康状态评估综述[J]. 浙江电力, 2021, 40(7):65-73.
	ZHAO Xianhe, GENG Guangchao, LIN Da, et al. Review of data-driven state of health estimation for lithium-ion battery[J]. Zhejiang Electric Power, 2021, 40(7):65-73.
[2]	BELHAROUAK I, PASSERINI S. Special issue:Battery community celebration of 2019 Nobel Prize in Chemistry for the development of lithium-ion batteries[J]. Journal of Power Sources, 2020, 471:228548. doi: 10.1016/j.jpowsour.2020.228548
[3]	锂电池电解液行业标准2018年10月1日起实施[J]. 功能材料信息, 2018(4):30-31.
	Lithium battery electrolyte industry standard has been implemented since October 1,2018[J]. Functional Materials Information, 2018(4):30-31.
[4]	POURAGHAJAN F, THOMPSON A I, HUNTER E E, et al. The effects of cycling on ionic and electronic conductivities of li-ion battery electrodes[J]. Journal of Power Sources, 2021, 492:229636. doi: 10.1016/j.jpowsour.2021.229636
[5]	BARRÉ A, DEGUILHEM B, GROLLEAU S, et al. A review on lithium-ion battery ageing mechanisms and estimations for automotive applications[J]. Journal of Power Sources, 2013, 241:680-689. doi: 10.1016/j.jpowsour.2013.05.040
[6]	BARCELLONA S, PIEGARI L. Effect of current on cycle aging of lithium ion batteries[J]. Journal of Energy Storage, 2020, 29:101310. doi: 10.1016/j.est.2020.101310
[7]	LI Y, LIU K, FOLEY A M, et al. Data-driven health estimation and lifetime prediction of lithium-ion batteries:A review[J]. Renewable and Sustainable Energy Reviews, 2019, 113:109254. doi: 10.1016/j.rser.2019.109254
[8]	ERDINC O, VURAL B, UZUNOGLU M. A dynamic lithium-ion battery model considering the effects of temperature and capacity fading[C/CD]// International Conference on Clean Electrical Power. IEEE, 2009.
[9]	SU B, KE X, YUAN C. Modeling the effects of state of charge and temperature on calendar capacity loss of nickel-manganese-cobalt lithium-ion batteries[J]. Journal of Energy Storage, 2022, 49:104105. doi: 10.1016/j.est.2022.104105
[10]	SU Boman, KE Xinyou, YUAN C. Modeling the effects of state of charge and temperature on calendar capacity loss of nickel-manganese-cobalt lithium-ion batteries[J]. Journal of Energy Storage, 2022, 49:104105. doi: 10.1016/j.est.2022.104105
[11]	REDONDO-IGLESIAS E, VENET P, PELISSIER S. Modelling lithium-ion battery ageing in electric vehicle applications—Calendar and cycling ageing combination effects[J]. Batteries, 2020, 6(1):14. doi: 10.3390/batteries6010014
[12]	WATANABE S, KINOSHITA M, HOSOKAWA T, et al. Capacity fade of LiAl_yNi_1-x-yCo_xO₂ cathode for lithium-ion batteries during accelerated calendar and cycle life tests (surface analysis of LiAl_yNi_1-x-yCo_xO₂ cathode after cycle tests in restricted depth of discharge ranges)[J]. Journal of Power Sources, 2014, 258:210-217. doi: 10.1016/j.jpowsour.2014.02.018
[13]	ECKER M, NIETO N, KÄBITZ S, et al. Calendar and cycle life study of Li(NiMnCo)O₂-based 18650 lithium-ion batteries[J]. Journal of Power Sources, 2014, 248:839-851. doi: 10.1016/j.jpowsour.2013.09.143
[14]	WANG J, PUREWAL J, LIU P, et al. Degradation of lithium ion batteries employing graphite negatives and nickel-cobalt-manganese oxide+spinel manganese oxide positives:Part 1,aging mechanisms and life estimation[J]. Journal of Power Sources, 2014, 269:937-948. doi: 10.1016/j.jpowsour.2014.07.030
[15]	SAFARI M, DELACOURT C. Aging of a commercial graphite/LiFePO₄ cell[J]. Journal of the Electrochemical Society, 2011, 158(10): A1123. doi: 10.1149/1.3614529
[16]	KASSEM M, BERNARD J, REVEL R, et al. Calendar aging of a graphite/LiFePO4 cell[J]. Journal of Power Sources, 2012, 208:296-305. doi: 10.1016/j.jpowsour.2012.02.068
[17]	GOU B, XU Y, FANG S, et al. Remaining useful life prediction for lithium-ion battery using ensemble learning method[C/CD]// 2019IEEE Power & Energy Society General Meeting (PESGM). IEEE, 2019.
[18]	REICHERT M, ANDRE D, RÖSMANN A, et al. Influence of relaxation time on the lifetime of commercial lithium-ion cells[J]. Journal of Power Sources, 2013, 239:45-53. doi: 10.1016/j.jpowsour.2013.03.053
[19]	GOU B, XU Y, FENG X. An ensemble learning-based data-driven method for online state-of-health estimation of lithium-ion batteries[J]. IEEE Transactions on Transportation Electrification, 2021, 7(2):422-436. doi: 10.1109/TTE.2020.3029295
[20]	陈佳琦, 赵鹏祥, 祁宁, 等. 基于BP神经网络的油松人工林树高模型研究[J]. 西北林学院学报, 2020, 35(1):212-217,245.
	CHEN Jiaqi, ZHAO Pengxiang, QI Ning, et al. Establishment of tree height model of pinus tabuli formis plantation based on BP neural network[J]. Journal of Northwest Forestry University, 2020, 35(1):212-217,245.
[21]	GROLLEAU S, DELAILLE A, GUALOUS H, et al. Calendar aging of commercial graphite/LiFePO₄ cell—Predicting capacity fade under time dependent storage conditions[J]. Journal of Power Sources, 2014, 255:450-458. doi: 10.1016/j.jpowsour.2013.11.098
[22]	SU L, ZHANG J, HUANG J, et al. Path dependence of lithium ion cells aging under storage conditions[J]. Journal of Power Sources, 2016, 315:35-46. doi: 10.1016/j.jpowsour.2016.03.043
[23]	HAHN S L, STORCH M, SWAMINATHAN R, et al. Quantitative validation of calendar aging models for lithium-ion batteries[J]. Journal of Power Sources, 2018, 400:402-414. doi: 10.1016/j.jpowsour.2018.08.019
[24]	KRUPP A, BECKMANN R, DIEKMANN T, et al. Calendar aging model for lithium-ion batteries considering the influence of cell characterization[J]. Journal of Energy Storage, 2022, 45:103506. doi: 10.1016/j.est.2021.103506

SOC范围(%)	MSOC(%)	∆SOC(%)	电池数量
0~100	50	100	2
20~80	50	60	2
40~60	50	20	2
40~100	70	60	2
0~60	30	60	2

SOC范围(%)	∆SOC(%)	MSOC(%)	k	a	R²
0~100	100	50	3.098	0.539 3	0.969 3
20~80	60	50	4.125	0.365 1	0.969 5
40~100	60	70	5.156	0.458 3	0.993 5
0~60	60	30	0.065 03	2.45	0.839 3
40~60	20	50	2.7	0.498 5	0.938 9

Effect Analysis of Recycling and Storage Conditions on Graphite/LiCoO₂ Battery Life

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Figures/Tables 15

References 24

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