Skip to main content
Log in

In Situ Measurements of Strains in Composite Battery Electrodes during Electrochemical Cycling

  • Published:
Experimental Mechanics Aims and scope Submit manuscript

Abstract

The cyclic stress in lithium-ion battery electrodes induced by repeated charge and discharge cycles causes electrode degradation and fracture, resulting in reduced battery performance and lifetime. To investigate electrode mechanics as a function of electrochemical cycling, we utilize digital image correlation (DIC) to measure the strains that develop in lithium-ion battery electrodes during lithiation and delithiation processes. A composite graphite electrode is cycled galvanostatically (with constant current) in a custom battery cell while optical images of the electrode surface are captured in situ. The strain in the electrode is computed using an in-house DIC code. On average, an unconstrained composite graphite electrode expands 1.41 % during lithiation and contracts 1.33 % during delithiation. These strain values compare favorably with predictions based on the elastic properties of the composite electrode and the expansion of graphite-lithium intercalation compounds (G-LICs). The establishment of this experimental protocol will enable future studies of the relationship between electrode mechanics and battery performance.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14

Similar content being viewed by others

Notes

  1. The C-rate normalizes the current used to cycle a battery based on the mass, m (g), and the theoretical specific capacity, Q (Ah⋅g−1), of the active material in the working electrode. For a C-rate of C/X, the working electrode should fully lithiate in X hours with a current, I (A), defined by I = Qm/X.

References

  1. Vetter J, Novák P, Wagner M, Veit C, Möller K, Besenhard J, Winter M, Wohlfahrt-Mehrens M, Vogler C, Hammouche A (2005) Ageing mechanisms in lithium-ion batteries. J Power Sources 147:269–281. doi:10.1016/j.jpowsour.2005.01.006

    Article  Google Scholar 

  2. Qi Y, Guo H, Hector LG, Timmons A (2010) Threefold increase in the young’s modulus of graphite negative electrode during lithium intercalation. J Electrochem Soc 157(5):A558–A566. doi:10.1149/1.3327913

    Article  Google Scholar 

  3. Beaulieu LY, Eberman KW, Turner RL, Krause LJ, Dahn JR (2001) Colossal reversible volume changes in lithium alloys. Electrochem Solid-State Lett 4(9):A137–A140. doi:10.1149/1.1388178

    Article  Google Scholar 

  4. Liu XH, Huang JY (2011) In situ TEM electrochemistry of anode materials in lithium ion batteries. Energy Environ Sci 4:3844–3860. doi:10.1039/c1ee01918j

    Article  Google Scholar 

  5. Sethuraman VA, Chon MJ, Shimshak M, Srinivasan V, Guduru PR (2010) In situ measurements of stress evolution in silicon thin films during electrochemical lithiation and delithiation. J Power Sources 195:5062–5066. doi:10.1016/j.jpowsour.2010.02.013

    Article  Google Scholar 

  6. Bower AF, Guduru PR, Sethuraman VA (2011) A finite strain model of stress, diffusion, plastic flow, and electrochemical reactions in a lithium-ion half-cell. J Mech Phys Solids 59:804–828. doi:10.1016/j.jmps.2011.01.003

    Article  MATH  MathSciNet  Google Scholar 

  7. Deshpande R, Cheng YT, Verbrugge MW (2010) Modeling diffusion-induced stress in nanowire electrode structures. J Power Sources 195:5081–5088. doi:10.1016/j.jpowsour.2010.02.021

    Article  Google Scholar 

  8. Li J, Lewis RB, Dahn JR (2007) Sodium carboxymethyl cellulose. Electrochem Solid-State Lett 10(2):A17–A20. doi:10.1149/1.2398725

    Article  Google Scholar 

  9. Timmons A, Dahn J R (2006) In situ optical observations of particle motion in alloy negative electrodes for Li-ion batteries. J Electrochem Soc 153(6):A1206–A1210. doi:10.1149/1.2194611

    Article  Google Scholar 

  10. Sethuraman VA, Van Winkle N, Abraham DP, Bower AF, Guduru PR (2012) Real-time stress measurements in lithium-ion battery negative-electrodes. J Power Sources 206:334–342. doi:10.1016/j.jpowsour.2012.01.036

    Article  Google Scholar 

  11. Sethuraman VA, Nguyen A, Chon MJ, Nadimpalli SPV, Wang H, Abraham DP, Bower AF, Shenoy VB, Guduru PR (2013) Stress evolution in composite silicon electrodes during lithiation/delithiation. J Electrochem Soc 160(4):A739–A746. doi:10.1149/2.021306jes

    Article  Google Scholar 

  12. Qi Y, Harris SJ (2010) In situ observation of strains during lithiation of a graphite electrode. J Electrochem Soc 157(6):A741–A747. doi:10.1149/1.3377130

    Article  Google Scholar 

  13. Berfield TA, Patel JK, Shimmin RG, Braun PV, Lambros J, Sottos NR (2006) Fluorescent image correlation for nanoscale deformation measurements. Small 2(5):631–635. doi:10.1002/smll.200500289

    Article  Google Scholar 

  14. Berfield TA, Patel JK, Shimmin RG, Braun PV, Lambros J, Sottos NR (2007) Micro- and nanoscale deformation measurement of surface and internal planes via digital image correlation. Exp Mech 47:51–62. doi:10.1007/s11340-006-0531-2

    Article  Google Scholar 

  15. Hamilton AR, Sottos NR, White SR (2010) Local strain concentrations in a microvascular network. Exp Mech 50:255–263. doi:10.1007/s11340-009-9299-5

    Article  Google Scholar 

  16. Van Blaaderen A, Vrij A (1992) Synthesis and characterization of colloidal dispersions of fluorescent, monodisperse silica spheres. Langmuir 8(12):2921–2931

    Article  Google Scholar 

  17. Matweb (2013) Graphite (Carbon C). www.matweb.com

  18. Verma P, Maire P, Novák P (2010) A review of the features and analyses of the solid electrolyte interphase in Li-ion batteries. Electrochim Acta 55:6332–6341. doi:10.1016/j.electacta.2010.05.072

    Article  Google Scholar 

  19. Eberl C (2010) Digital image correlation and tracking. http://www.mathworks.com/matlabcentral/fileexchange/12413

  20. Jones EMC (2013) Improved digital image correlation. http://www.mathworks.com/matlabcentral/fileexchange/43073-improveddigitalimage-correlation-dic

  21. Mathworks (2012) Normalized 2-D cross-correlation (normxcorr2). http://www.mathworks.com/help/images/ref/normxcorr2.html

  22. Barlow J (1976) Optimal stress locations in finite element models. Int J Num Methods Eng 10:243–251

    Article  MATH  Google Scholar 

  23. Tortorelli DA (2010) Solid mechanics : analysis and design with the finite element method. Electronic Publication, Urbana

    Google Scholar 

  24. Dahn JR (1991) Phase Diagram of LixC6. Phys Rev B 44(17):9170–9177

    Article  Google Scholar 

  25. Dahn JR, Fong R, Spoon MJ (1990) Suppression of staging in lithium-intercalated carbon by disorder in the host. Phys Rev B 42(10):6424–6432

    Article  Google Scholar 

  26. Chemical Book (2010) Carboxymethyl cellulose. http://www.chemicalbook.com/ChemicalProductProperty_EN_CB5.209844.htm

  27. International Programme on Chemical Safety (2012) Carbon black. http://www.inchem.org/documents/icsc/icsc/eics0471.htm

  28. Verhaegh NAM, Van Blaaderen A (1994) Dispersions of rhodamine-labeled silica spheres: synthesis, characterization, and fluorescence confocal scanning laser microscopy. Langmuir 10:1427–1438

    Article  Google Scholar 

  29. Whitney JM, McCullough RL (1990) Micromechanical materials modeling. Technomic Publishing Company, Inc., Lancaster

    Google Scholar 

  30. Gibson LJ, Ashby MF (1988) Cellular solids. Pergamon Press, New York

    MATH  Google Scholar 

  31. Rosen BW, Hashin Z (1970) Effective thermal expansion coefficients and specific heats of composite materials. Int J Engng Sci 8:157–173

    Article  Google Scholar 

  32. Zheng H, Zhang L, Liu G, Song X, Battaglia VS (2012) Correlationship between electrode mechanics and long-term cycling performance for graphite anode in lithium ion cells. J Power Sources 217:530–537. doi:10.1016/j.jpowsour.2012.06.045

    Article  Google Scholar 

Download references

Acknowledgements

This work was supported as part of the Center for Electrical Energy Storage - Tailored Interfaces, an Energy Frontier Research Center funded by the U. S. Department of Energy, Office of Science, Office of Basic Energy Sciences under Award Number 919 DOE ANL 9F-31921NS. The authors would like to acknowledge the Imaging Technology Group at the Beckman Institute for Advanced Science and Technology for use of microscopy equipment, Dr. Andrew Gewirth at the University of Illinois for insightful discussions, and Dr. Joseph Lyding for use of spot welding equipment. E. Jones was supported by the National Science Foundation Graduate Research Fellowship, and M. Silberstein was supported by the Arnold and Mabel Beckman Foundation Postdoctoral Fellowship.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to N. R. Sottos.

Appendix

Appendix

Continuing the model in section “Analytical Prediction of Composite Electrode Expansion”, the shear modulus of a complete composite electrode, G e , is estimated by applying the “S-Combining Rule” [28] for graphite particulates in a porous matrix according to:

$$G_{e} = \frac{G_{pm} \left(1 + \phi_{g} \xi_{Gl}\chi_{G}\right)}{1- \phi_{g} \Psi_{G} \chi_{G}}$$
(18)

with

$$\begin{array}{@{}rcl@{}}\chi_G = \frac{G_{g}-G_{pm}}{G_{g} + \xi_{Gl} G_{pm}}\end{array} $$
(19a)
$$\begin{array}{@{}rcl@{}}\Psi_G \!=\! 1 \!+\! \frac{\phi_{g} \phi_{pm} \left(1{\kern-1.5pt}-{\kern-1.5pt}\gamma \phi_{pm}\right) \left(G_{g}{\kern-1.5pt}-{\kern-1.5pt}G_{pm}\right)\left(\xi_{Gu}{\kern-1pt}-{\kern-1pt}\xi_{Gl}\right)} {G_{g}{\kern-1pt}+{\kern-1pt}\xi_{Gu} \left(\phi_{g} G_{g}{\kern-1pt}+{\kern-1pt}\phi_{pm} G_{pm} \right)}\end{array} $$
(19b)
$$\begin{array}{@{}rcl@{}} \xi_{Gu} = \frac{\left(7-5\nu_{g} \right) G_{g}}{\left(8-10\nu_{g} \right) G_{pm}} \end{array} $$
(19c)
$$\begin{array}{@{}rcl@{}} \xi_{Gl} = \frac{7-5\nu_{pm}}{8-10\nu_{pm}} \end{array} $$
(19d)
$$\begin{array}{@{}rcl@{}} \gamma = \frac{2 \lambda^{*} - 1}{\lambda^{*}} \end{array} $$
(19e)

where G pm is the shear modulus of the CB/CMC porous matrix, calculated from the bulk modulus, K pm (equation (11)), and the Poisson’s ratio, ν pm = 1/3, of the porous matrix assuming isotropy, and G g is the shear modulus of G-LICs, calculated from the bulk modulus, K g , and the Poisson’s ratio, ν g , of the G-LICs assuming isotropy. All other variables are defined in section “Analytical Prediction of Composite Electrode Expansion”.

The Young’s modulus of the porous composite electrode is calculated from the predicted shear modulus, G e , and bulk modulus, K e , assuming isotropy. It was found to range between 0.46 GPa and 0.48 GPa depending on the lithium content of the G-LICs, which is two orders of magnitude smaller than the modulus of G-LICs. Moreover, the Young’s modulus of the electrode is predicted to remain nearly constant for all lithium contents, despite a three-fold increase in the modulus of G-LICs.

Zheng et al. experimentally measured the Young’s modulus of unlithiated electrodes comprised of 88.8 wt.% graphite, 8 wt.% polyvinylidene difluoride (PVDF) binder, and 3.2 wt.% carbon black with 35 vol.% porosity [32]. They found that the Young’s modulus lies in the range of 0.26 GPa to 0.69 GPa. This is in good agreement with the predicted modulus.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Jones, E.M.C., Silberstein, M.N., White, S.R. et al. In Situ Measurements of Strains in Composite Battery Electrodes during Electrochemical Cycling. Exp Mech 54, 971–985 (2014). https://doi.org/10.1007/s11340-014-9873-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11340-014-9873-3

Keywords

Navigation