This study focuses on impedance behavior of commercial NMC111 (LiNi1/3Mn1/3Co1/3O2) and graphite electrodes in a small laboratory pouch cells. The NMC111/graphite in full-cell configuration are calendar aged and cycle aged between +3.8 V and +4.6 V vs. Li at 25 °C and 40 °C until 50% capacity fade is reached. Capacity and impedance behavior of the full cells are measured periodically in order to track the performance changes with aging. Each electrode is harvested at specific intervals of cycling stages and electrochemically characterized in symmetric cells by means of electrochemical impedance spectroscopy (EIS).
A physics-based model is employed to parameterize aging parameters by fitting the EIS results from the symmetric cells using a least square fitting tool in COMSOL Multiphysics. The pseudo two-dimensional (P2D) model is an extension to the work of Doyle et al. [5] incorporating intercalation kinetics, mass and charge transport based on concentrated solution porous electrode theory.
From the preliminary EIS results on NMC111 symmetric cells in Fig. 1, impedance increases at a small magnitude at 25 °C at the end of life (EOL) compared to the beginning of life (BOL). At 40 °C, however, large impedance rise at EOL is seen. On the other hand, it had been shown that capacity fade occurs at both temperatures during slow cycling on half-cells. The model optimization is firstly done for cells at BOL to deduce the aging-independent parameters. Towards EOL, the quantification of intrinsic physical aging properties such as the particle sizes, porosity, local contact resistance and surface film resistance which are the causes of impedance rise or capacity fade can be made. The potential effects of calendar aging on cell degradation is separated from the effects of cycle aging. The comparison with experimental capacity loss and impedance rise will further validate the model. The extraction of the parameters from the model enables deduction of different aging-induced mechanisms at each electrode. This quantitative analysis of aging behavior will contribute to improved lifetime predictive model for NMC111/graphite lithium-ion batteries.
[1] D. J. Xiong, R. Petibon, M. Nie, L. Ma, J. Xia, J.R. Dahn, J. Electrochem. Soc. 163 (2016), 3, A546-A551
[2] P. Niehoff, M. Winter, Langmuir 29 (2013), 51, 15813-15821
[3] M. Wohlfahrt-Mehrens, C. Vogler, J. Garche, J. Power Sources 127 (2004) 58-64
[4] K. Xu, Chem. Rev. 114 (2014) 11503-11618
[5] M. Doyle, J. Newman, A. C. Gozdz, C. N. Schmutz, J.-M. Tarascon, J. Electrochem. Soc. 143 (1996) 1890–1903.