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5–11 Jun 2022
McMaster University
America/Toronto timezone
Welcome to the 2022 CAP Congress Program website! / Bienvenue au siteweb du programme du Congrès de l'ACP 2022!

(I) The asymmetric charge-discharge kinetics in Li1xNi1+xO2 from first principles

9 Jun 2022, 09:15
30m
MDCL 1010 (McMaster University)

MDCL 1010

McMaster University

Invited Speaker / Conférencier(ère) invité(e) Condensed Matter and Materials Physics / Physique de la matière condensée et matériaux (DCMMP-DPMCM) R1-7 Materials for Energy Applications (DCMMP) | Matériaux pour applications en énergie (DPMCM)

Speaker

Prof. Penghao Xiao (Dalhousie University)

Description

The ever-increasing demand on Li-ion batteries requires the cathode materials to be inexpensive and environmentally friendly. LiNiO2 is such a promising Co-free cathode. However, the presence of Ni in the Li layer (NiLi) becomes more common without Co, which limits its electrochemical performance. These excess Ni could randomly distribute in the bulk due to Li deficiency during synthesis, or/and form a surface densified phase due to oxygen loss during cycling. Their interactions with Li, on top of Li-Li interactions, further complicate the non-dilute Li diffusion. In this talk, I will combine the density functional theory (DFT), cluster expansion and kinetic Monte Carlo (KMC) simulations to identify the effects of NiLi on Li transport in realistic conditions. Interestingly, both types of NiLi impede Li transport at the end of charge and discharge, but not at the beginning. This asymmetry kinetics cannot be solely explained by the Li diffusivity as a function of Li contents but stems from the phase boundary orientation between Li orderings. NiLi from synthesis smooths the voltage plateaus and contributes to the 1st cycle capacity loss. NiLi from degradation hinders Li transport more severely when the densified phase fully covers the particle surface. Moreover, this surface phase kinetically traps the last 25% Li for an extremely long time during charge but shows little impedance when Li%>25%. These understandings could open new ways to engineer the transport properties of LiNiO2-based materials.

Author

Prof. Penghao Xiao (Dalhousie University)

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