journal article·2023-06-21Open access

Enhancing the Electrochemical Properties of Nickel-Rich Cathode by Surface Coating with Defect-Rich Strontium Titanate

Peiyuan Guan, Jie Min, Fandi Chen, Shuo Zhang, Long Hu, Zhipeng Ma, Zhaojun Han, Lu Zhou, Haowei Jia, Yunjian Liu, Neeraj Sharma, Dawei Su, Judy N. Hart, Tao Wan, Dewei Chu

ACS Applied Materials & Interfaces· Volume 15· Issue 24

Abstract

Ni-rich layered ternary cathodes (i.e., LiNi x Co y M z O 2, M = Mn or Al, x + y + z = 1 and x ≥ 0.8) are promising candidates for the power supply of portable electronic devices and electric vehicles. However, the relatively high content of Ni 4+ in the charged state shortens their lifespan due to inevitable capacity and voltage deteriorations during cycling. Therefore, the dilemma between high output energy and long cycle life needs to be addressed to facilitate more widespread commercialization of Ni-rich cathodes in modern lithium-ion batteries (LIBs). This work presents a facile surface modification approach with defect-rich strontium titanate (SrTiO 3– x ) coating on a typical Ni-rich cathode: LiNi 0.8 Co 0.15 Al 0.05 O 2 (NCA). The defect-rich SrTiO 3– x -modified NCA exhibits enhanced electrochemical performance compared to its pristine counterpart. In particular, the optimized sample delivers a high discharge capacity of ∼170 mA h/g after 200 cycles under 1C with capacity retention over 81.1%. The postmortem analysis provides new insight into the improved electrochemical properties which are ascribed to the SrTiO 3– x coating layer. This layer appears to not only alleviate the internal resistance growth, from uncontrollable cathode–electrolyte interface evolution, but also acts as a lithium diffusion channel during prolonged cycling. Therefore, this work offers a feasible strategy to improve the electrochemical performance of layered cathodes with high nickel content for next-generation LIBs.
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Research context

OpenAlex topics: Advancements in Battery Materials · Machine Learning in Materials Science · Hydrogen embrittlement and corrosion behaviors in metals

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Materials Science and Engineering, University of New South Wales, Sydney 2052, Australia

School of Chemical Engineering, University of New South Wales, Sydney 2052, Australia

School of Material Science and Engineering, Jiangsu University, Zhenjiang 212013, P. R. China

School of Chemistry, University of New South Wales, Sydney 2052, Australia

School of Mathematical and Physical Sciences, University of Technology Sydney, Sydney 2007, Australia

Funding

Australian Research Council

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