Factors that Affect Capacity in the Low Voltage Kinetic Hindrance Region of Ni-Rich Positive Electrode Materials and Diffusion Measurements from a Reinvented Approach

With research continuing to push for higher Ni content in positive electrode materials, issues such as the 1st cycle irreversible capacity and kinetic hindrances related to Li diffusion become more significant. This work highlights the impact of various material parameters on electrochemical performances, specifically the kinetic hindrances to Li diffusion in the low voltage region. Increasing the amount of substituents, increasing the secondary particle size and increasing the primary particle size were all variables found to decrease capacity in the similar to 3.4-3.6 V region at modest discharge rates and increase the 1st cycle IRC. The capacity in the similar to 3.4-3.6 V region can be recovered when cycling at a higher temperature at similar discharge rates or when cycling to a low cut-off voltage of 2 V. Since these processes are related to the diffusion of Li in the positive electrode, analysis of the Li chemical diffusion coefficient, D ( c ), is presented using a reinvented approach we call the Atlung Method for Intercalant Diffusion. The measured D ( c ) for the single crystalline LiNi0.975Mg0.025O2 materials were found to be about 2 orders of magnitude smaller compared to the polycrystalline materials if the secondary particle size was used in the calculation of D ( c ) for the polycrystalline samples. If the primary particle size of the polycrystalline materials was used, then D ( c ) was similar to the single crystal materials. These results demonstrate that lattice diffusion is much slower compared to grain boundary diffusion offering insight for optimizing material morphology for better rate performance.

Automated summary

With research pushing for higher nickel content in positive electrode materials, the impacts of various material parameters on electrochemical performances, specifically the kinetic hindrances to lithium diffusion, have been highlighted. The study found that increasing substituents, particle sizes, and optimizing material morphology can decrease capacity and increase irreversible capacity. Cycling at higher temperatures or to a lower cut-off voltage can help recover capacity in certain voltage regions. Additionally, the study shows that lattice diffusion is much slower compared to grain boundary diffusion, providing insight for material morphology optimization for better rate performance.