(Invited) Lithium-Ion Transport in Ncm Oxides: Effect of Crystallographic Evolution during Delithiation
Authors: Yao Koffi P.C. , Kalaga Kaushik , Gilbert James A , Okasinski John , Almer Jon , Abraham Daniel P 
Published: February 2020

Electromobility demands higher energies and power densities, greater thermal safety, and lower cost compared to the ubiquitous LiCoO2 batteries. This demand is fueling the development of new intercalation cathode materials for Li-ion batteries. The LixNi(1-y-z)CoyMnzO2 (NCM) series oxides have garnered interest in this regard for the following reasons: (i) their high capacities approaching 200 mAh·g-1
NMC afforded by the double redox center of Ni1, 2 is significantly greater than that of LiCoO2 (LCO) which has stable capacities of ~140 mAh·g-1
LCO;3 (ii) their anticipated cost is lowered by partial substitution of Co with Ni and Mn; (iii) exothermic thermal reactivity is pushed up to ~270 °C compared to ~190 °C for LiCoO2.2, 4

With their advantages clear, the choice of an NCM oxide is a tradeoff between transition metal ratios, relative capacities, relative stability, relative cost, and relative power capability. Fast charging/discharging is becoming more and more central to the practicality of electric vehicles; hence, knowledge of Li+ ion diffusion through the oxide structure is important. We investigated the influence of transition metal ratios on Li+ ion diffusion as a function of state of charge in NCM424, NCM523, NCM622, and NCM811 using the galvanostatic intermittent titration technique. An example for the NCM523 oxide is shown in Figure 1. We utilized synchrotron-based operando energy dispersive X-ray diffraction (EDXRD) to relate the Li+ ion diffusion coefficients to crystallographic evolution during the oxide delithiation-lithation process. We will describe these relationships during our presentation. Additionally, the diffusion coefficient values are related to the fast charging performance of the oxides to elucidate their importance to practical applications.

References:

1. Wei, Y., et al., Kinetics Tuning of Li-Ion Diffusion in Layered Li(NixMnyCoz)O2. J. Am. Chem. Soc., 2015. 137(26), 8364.

2. Yabuuchi, N. and T. Ohzuku, Novel lithium insertion material of LiCo1/3Ni1/3Mn1/3O2 for advanced lithium-ion batteries. J. Power Sources, 2003. 119–121, 171.

3. Ozawa, K., Lithium-ion rechargeable batteries with LiCoO2 and carbon electrodes: the LiCoO2/C system. Solid State Ionics, 1994. 69(3), 212.

4. Cho, J. and G. Kim, Enhancement of Thermal Stability of LiCoO2 by LiMn2O4 Coating. Electrochem. Solid-State Lett., 1999. 2(6), 253.

Acknowledgement:

The electrodes and electrolytes are from Argonne’s Cell Analysis, Modeling and Prototyping (CAMP) Facility, which is supported within the core funding of the Applied Battery Research (ABR) for Transportation Program. We acknowledge the assistance of S. Trask, B. Polzin, A. Jansen, and D. Dees during the course of this work. Support from the U.S. Department of Energy’s Vehicle Technologies Program (DOE-VTP) is gratefully acknowledged. This document has been created by UChicago Argonne, LLC, Operator of Argonne National Laboratory (“Argonne”). Argonne, a U.S. Department of Energy Office of Science laboratory, is operated under Contract No. DE-AC02-06CH11357.

Figure 1 Caption:

Diffusion coefficients in NCM523 oxide as a function of Li content using GITT. In order to account for the effect of duration of the polarization step, diffusion coefficients were estimated as the average of values calculated from the GITT formula using 300, 350, 400, 450, 500, 550, 600 seconds of the polarization step. Each curve contains the average data obtained from three separate cells. Error bars are three standard deviations resulting from the averaging of three cells. Note that the scatter (standard deviation) on averaging three separate cells is generally greater than the scatter from averaging the various time intervals selected. Square symbols indicate charging while circle symbols indicate discharge.

Figure 1