Analysis and Modeling of Calendar Aging and Cycle Aging of LiCoO2/Graphite Cells

  • WANG Wei ,
  • YUAN Baoqiang ,
  • SUN Qie ,
  • WENNERSTEN Ronald
Expand
  • 1. Institute of Thermal Science and Technology, Shandong University, Ji’nan 250061, China
    2. School of Energy and Power Engineering, Shandong University, Ji’nan 250061, China
    3. Institute for Advanced Science and Technology, Shandong University, Ji’nan 250061, China

Online published: 2024-04-30

Supported by

This work was supported by Shandong University Seed Fund Program for International Research Cooperation.

Copyright

Science Press, Institute of Engineering Thermophysics, CAS and Springer-Verlag GmbH Germany, part of Springer Nature 2024

Abstract

Lithium-ion batteries are used in a wide range of applications. However, their cycle life suffers from the problem of capacity fade, which includes calendar and cycle aging. The effects of storage time, temperature and partial charge-discharge cycling on the capacity fade of Li-ion batteries are investigated in this study. The calendar aging and cycle aging are presented based on the storage and cycling experiment on LiCoO2/graphite cells under different storage temperature and different ranges of state of charge (SOC). Based on the measurement data, a one-component and a double-component aging model are presented to respectively describe the capacity fade caused by calendar and cycle aging. The calendar aging of LiCoO2/graphite batteries is mainly affected by temperature and SOC during the storage. Mean SOC and change in SOC (∆SOC) are the main factors affecting battery degradation during cycling operation.

Cite this article

WANG Wei , YUAN Baoqiang , SUN Qie , WENNERSTEN Ronald . Analysis and Modeling of Calendar Aging and Cycle Aging of LiCoO2/Graphite Cells[J]. Journal of Thermal Science, 2024 , 33(3) : 1109 -1118 . DOI: 10.1007/s11630-024-1918-z

References

[1] Wang W., Sun B., Li H., et al., An improved min-max power dispatching method for integration of variable renewable energy. Applied Energy, 2020, 276: 115430.
[2] Blomgren G.E., The development and future of lithium ion batteries. Journal of the Electrochemical Society, 2016, 164(1): A5019.
[3] Han X., Lu L., Zheng Y., et al., A review on the key issues of the lithium ion battery degradation among the whole life cycle. eTransportation, 2019, 1: 100005.
[4] Rivera-Barrera J.P., Muñoz-Galeano N., Sarmiento-Maldonado H.O., SOC estimation for lithium-ion batteries: Review and future challenges. Electronics, 2017, 6(4): 102.
[5] Reniers J.M., Mulder G., Howey D.A., Review and performance comparison of mechanical-chemical degradation models for lithium-ion batteries. Journal of the Electrochemical Society, 2019, 166(14): A3189–A3200.
[6] Li J., Murphy E., Winnick J., et al., Studies on the cycle life of commercial lithium ion batteries during rapid charge-discharge cycling. Journal of Power Sources, 2001, 102(1–2): 294–301.
[7] Schuster S.F., Bach T., Fleder E., et al., Nonlinear aging characteristics of lithium-ion cells under different operational conditions. Journal of Energy Storage, 2015, 1: 44–53.
[8] Zheng Y., Ouyang M., Lu L., et al., Understanding aging mechanisms in lithium-ion battery packs: From cell capacity loss to pack capacity evolution. Journal of Power Sources, 2015, 278: 287–295.
[9] Barré A., Deguilhem B., Grolleau S., et al., A review on lithium-ion battery ageing mechanisms and estimations for automotive applications. Journal of Power Sources, 2013, 241: 680–689.
[10] Delacourt C., Safari M., Mathematical modeling of aging of Li-ion batteries, physical multiscale modeling and numerical simulation of electrochemical devices for energy conversion and storage. Green Energy and Technology, Springer, 2016, pp. 151–190.
[11] Suri G., Onori S., A control-oriented cycle-life model for hybrid electric vehicle lithium-ion batteries. Energy, 2016, 96: 644–653.
[12] Jung D.H., Kim D.M., Park J., et al., Cycle-life prediction model of lithium iron phosphate-based lithium-ion battery module. International Journal of Energy Research, 2021, 45(11): 16489–16496.
[13] Gao Y., Jiang J., Zhang C., et al., Lithium-ion battery aging mechanisms and life model under different charging stresses. Journal of Power Sources, 2017, 356: 103–114.
[14] Ren L., Zhao L., Hong S., et al., Remaining useful life prediction for lithium-ion battery: A deep learning approach. IEEE Access, 2018, 6: 50587–50598.
[15] Severson K.A., Attia P.M., Jin N., et al., Data-driven prediction of battery cycle life before capacity degradation. Nature Energy, 2019, 4(5): 383–391.
[16] Dubarry M., Qin N., Brooker P., Calendar aging of commercial Li-ion cells of different chemistries—A review. Current Opinion in Electrochemistry, 2018, 9: 106–113.
[17] Sarasketa-Zabala E., Gandiaga I., Rodriguez-Martinez L.M., et al., Calendar ageing analysis of a LiFePO4/graphite cell with dynamic model validations: Towards realistic lifetime predictions. Journal of Power Sources, 2014, 272: 45–57.
[18] Ecker M., Gerschler J.B., Vogel J., et al., Development of a lifetime prediction model for lithium-ion batteries based on extended accelerated aging test data. Journal of Power Sources, 2012, 215: 248–257.
[19] Buchberger I., Seidlmayer S., Pokharel A., et al., Aging analysis of graphite/LiNi1/3Mn1/3Co1/3O2 cells using XRD, PGAA, and AC impedance. Journal of the Electrochemical Society, 2015, 162(14): A2737.
[20] Li D., Danilov D.L., Gao L., et al., Degradation mechanisms of the graphite electrode in C6/LiFePO4 batteries unraveled by a non-destructive approach. Journal of the Electrochemical Society, 2016, 163(14): A3016.
[21] Matadi B.P., Geniès S., Delaille A., et al., Effects of biphenyl polymerization on lithium deposition in commercial graphite/NMC lithium-ion pouch-cells during calendar aging at high temperature. Journal of the Electrochemical Society, 2017, 164(6): A1089.
[22] Redondo-Iglesias E., Venet P., Pelissier S., Eyring acceleration model for predicting calendar ageing of lithium-ion batteries. Journal of Energy Storage, 2017, 13: 176–183.
[23] Ecker M., Nieto N., Käbitz S., et al., Calendar and cycle life study of Li(NiMnCo)O2-based 18650 lithium-ion batteries. Journal of Power Sources, 2014, 248: 839–851.
[24] Lyu P., Huo Y., Qu Z., et al., Investigation on the thermal behavior of Ni-rich NMC lithium ion battery for energy storage. Applied Thermal Engineering, 2020, 166: 114749.
[25] Jaguemont J., Boulon L., Venet P., et al., Low temperature aging tests for lithium-ion batteries. 2015 IEEE 24th International Symposium on Industrial Electronics (ISIE), IEEE, 2015: 1284–1289. 
DOI: 10.1109/ISIE.2015.7281657.
[26] Ecker M., Nieto N., Käbitz S., et al., Calendar and cycle life study of Li(NiMnCo)O2-based 18650 lithium-ion batteries. Journal of Power Sources, 2014, 248: 839–  851.
[27] Jaguemont J., Boulon L., Dubé Y., A comprehensive review of lithium-ion batteries used in hybrid and electric vehicles at cold temperatures. Applied Energy, 2016, 164: 99–114.
[28] Berdichevsky G., Kelty K., Straubel J.B., et al., The tesla roadster battery system. Tesla Motors, 2006, 1(5): 1–5.
[29] Saxena S., Hendricks C., Pecht M., Cycle life testing and modeling of graphite/LiCoO2 cells under different state of charge ranges. Journal of Power Sources, 2016, 327: 394–400.
[30] Keil P., Schuster S.F., Wilhelm J., et al., Calendar aging of lithium-ion batteries. Journal of the Electrochemical Society, 2016, 163(9): A1872.
[31] Zhang Q., White R.E., Calendar life study of Li-ion pouch cells. Journal of Power Sources, 2007, 173(2): 990–997.
[32] Broussely M., Herreyre S., Biensan P., et al., Aging mechanism in Li ion cells and calendar life predictions. Journal of Power Sources, 2001, 97: 13–21.
[33] Gyenes B., Stevens D.A., Chevrier V.L., et al., Understanding anomalous behavior in coulombic efficiency measurements on Li-ion batteries. Journal of the Electrochemical Society, 2014, 162(3): A278.
[34] Lewerenz M., Münnix J., Schmalstieg J., et al., Systematic aging of commercial LiFePO4 Graphite cylindrical cells including a theory explaining rise of capacity during aging. Journal of Power Sources, 2017, 345: 254–263.
[35] Lewerenz M., Fuchs G., Becker L., et al., Irreversible calendar aging and quantification of the reversible capacity loss caused by anode overhang. Journal of Energy Storage, 2018, 18: 149–159.
[36] Schmitt J., Maheshwari A., Heck M., et al., Impedance change and capacity fade of lithium nickel manganese cobalt oxide-based batteries during calendar aging. Journal of Power Sources, 2017, 353: 183–194.
[37] Liu Y., Xie K., Pan Y., et al., Simplified modeling and parameter estimation to predict calendar life of Li-ion batteries. Solid State Ionics, 2018, 320: 126–131.

Outlines

/