Abstract
The solid-state diffusion coefficient is an important parameter to characterize the kinetics performance of lithium-ion batteries. It is the basis for establishing accurate electrochemical models. In this paper, the solid-phase diffusion coefficients of positive and negative electrodes of ternary lithium-ion batteries were measured based on electrochemical impedance spectroscopy. The expressions of battery diffusion process were derived by Fick's law, and then the impedance model of lithium-ion batteries was built. A genetic algorithm was used to fit the electrochemical impedance spectrum of lithium ion batteries. The solid-phase diffusion coefficients were obtained according to the time constant of diffusion process. The results show that the impedance model fits well with the experimental spectroscopy. At room temperature, the solid-phase diffusion coefficient of the positive electrode of the ternary lithium-ion battery increases first and then decreases with further delithiation of the electrode. The solid-phase diffusion coefficient is approximately 10–15 ~ 10–13 m2/s. In contrast, the degree of lithium intercalation has little effect on the solid phase diffusion coefficient of negative electrode graphite, which maintains about 10–13 m2/s. Traditionally, the Warburg impedance is used to measure the solid-phase diffusion coefficient only in the case of semi-infinite diffusion. In comparison, the proposed method in this paper takes varied diffusion conditions in consideration. It is more suitable for different types of materials, and has better application prospects.
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References
Weppner, W., Huggins, R.A.: Determination of the kinetic parameters of mixed‐conducting electrodes and application to the system Li3Sb. J. Electrochem. Soc. 124(10), 1569–1578 (1977)
Ling, S., Wu, J., Zhang, S.: Fundamental scientific aspects of lithium ion batteries (XII)—Electrochemical measurement. Energy Storage Sci. Technol. 4(1), 83–103 (2015)
Ho, C., Raistrick, I.D., Huggins, R.A.: Application of A-C techniques to the study of lithium diffusion in tungsten trioxide thin films. J. Electrochem. Soc. 127(2), 343–350 (1980)
Shen, Z., Cao, L., Rahn, D., et al.: Least squares galvanostatic intermittent titration technique (LS-GITT) for accurate solid phase diffusivity measurement. J. Electrochem. Soc. 160(10), 1842–1846 (2013)
Schied, T., Nickol, A., Heubner, C., et al.: Determining the diffusion coefficient of lithium insertion cathodes from GITT measurements: theoretical analysis for low temperatures. ChemPhysChem 22(9), 885–893 (2021)
Nickol, A., Schied, T., Heubner, C., et al.: GITT Analysis of lithium insertion cathodes for determining the lithium diffusion coefficient at low temperature: challenges and pitfalls. J. Electrochem. Soc. 167, 090546 (2020)
Chayambuka, K., Mulder, G., Danilov, L., et al.: Determination of state-of-charge dependent diffusion coefficients and kinetic rate constants of phase changing electrode materials using physics-based models. J. Power Sources Adv. 9, 100056 (2021)
Huang, J.: Diffusion impedance of electroactive materials, electrolytic solutions and porous electrodes: Warburg impedance and beyond. Electrochim. Acta 281(7), 170–188 (2018)
Tien, N., Breitkopfz, C.: Determination of diffusion coefficients using impedance spectroscopy data. J. Electrochem. Soc. 165(14), 826–831 (2018)
Lelidis, I., Ross Macdonald, J., Barbero, G, et al.: Poisson–Nernst–Planck model with Chang-Jaffe, diffusion, and ohmic boundary conditions. J. Phys. D-Appl. Phys. 49(2), 025503 (2016)
Cooper, S.J., Bertei, A., Finegan, D.P., et al.: Simulated impedance of diffusion in porous media. Electrochim. Acta 251(11), 681–689 (2017)
Chen, N., Zhang, P., Dai, J.: Estimating the state-of-charge of lithium-ion battery using an H-Infinity observer based on electrochemical impedance model. IEEE Access 8, 26872–26884 (2020)
Yang, Q., Xu, J., Li, X.: State-of-health estimation of lithium-ion battery based on fractional impedance model and interval capacity. Int. J. Electr. Power Energy Syst. 119, 105883 (2020)
Feng, X., Merla, Y., Weng, C., Ouyang, M., et al.: A reliable approach of differentiating discrete sampled-data for battery diagnosis. eTransportation 3, 100051 (2020)
Tanim, T.R., Dufek, E.J., Walker, L.K., et al.: Advanced diagnostics to evaluate heterogeneity in lithium-ion battery modules. eTransportation 3, 100045 (2020)
Koleti, U., Dinh, T., Marco, J.: A new on-line method for lithium plating detection in lithium-ion batteries. J. Power Sources 451, 227789 (2020)
Brown, D.E., McShane, E.J., Konz, Z.M., et al.: Detecting onset of lithium plating during fast charging of Li-ion batteries using operando electrochemical impedance spectroscopy. Cell Rep. Phys. Sci. 2(10), 100589 (2021)
Kong, X., Plett, G., Trimboli, M., et al.: Pseudotwo-dimensional model and impedance diagnosis of micro internal short circuit in lithium-ion cells. J. Energy Storage 27, 101085 (2020)
Hyun, H., Jeong, K., Hong, H., et al.: Suppressing high-current-induced phase separation in Ni-rich layered oxides by electrochemically manipulating dynamic lithium distribution. Adv. Mater. 33(51), 2105337 (2021)
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This paper is financially supported by the National Natural Science Foundation of China(52007006, 51977007).
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Zhang, L., Zhai, K., Cai, X., Zhang, C., Zhang, W. (2023). Determination Method of Solid-State Diffusion Coefficient for Lithium-Ion Batteries Based on Electrochemical Impedance Model. In: Sun, F., Yang, Q., Dahlquist, E., **ong, R. (eds) The Proceedings of the 5th International Conference on Energy Storage and Intelligent Vehicles (ICEIV 2022). ICEIV 2022. Lecture Notes in Electrical Engineering, vol 1016. Springer, Singapore. https://doi.org/10.1007/978-981-99-1027-4_118
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DOI: https://doi.org/10.1007/978-981-99-1027-4_118
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