Optimizing Li2O-2B2O3 coating layer on LiNi0.8Co0.1Mn0.1O2 (NCM811) cathode material for high-performance lithium-ion batteries

ABSTRACT

In this paper, a wet chemical method is used to coat LiNi_0.8Co_0.1Mn_0.1O₂ (NCM811) cathode material by Li₂O-2B₂O₃ (LBO) layer for Lithium-ion batteries (LIBs). For performance optimization, the effects of different contents (thicknesses) of LBO coating layers on NCM811 particle surface on the morphologies, structures, compositions, and electrochemical properties of the corresponding LIBs are studied using XRD, SEM, TEM, and electrochemical measurements. Coin LIBs are assembled with such coated NCM811 cathode materials for performance validation. Results show that LBO coating layer does not change the original lattice structure of the bulk material, it can only adhere to the surface of the bulk material. After coating, NCM811 shows a good crystallinity and the ordered layered structure. TEM images show that the thickness of LBO coating is increased with increasing LBO content, and that the appropriate LBO coating thickness and uniform coating state are conducive to the improvement of the electrochemical properties of NCM811 cathode materials. Particularly, NCM811 with LBO coating content of 1000 ppm shows the best performance compared to other coating contents. In this case, the coating thickness is relatively uniform, which is about 40～100 nm, giving a good first charge-discharge capacity of 214.1mAh/g, and a high Coulomb efficiency of 90.06%. After 50 cycles, the capacity retention rate of LIBs still keeps as high as 99.64%. Therefore, LBO coating can improve the performance of NCM811 and then the lithium-ion batteries.

KEYWORDS:

• Coating
• LBO
• LI₂O-2B₂O₃
• lithium-ion battery
• NCM811

Acknowledgments

We gratefully acknowledge financial supports from the PhD. program of Shanghai University, the National Key Research and Development Program of China (2017YFB0102200; 2017YFB0102900), and the Shanghai Pujiang Program (17PJD016).

Additional information

Funding

This work was supported by the Shanghai Pujiang Program [17PJD016]; National Key Research and Development Program of China [2017YFB0102200; 2017YFB0102900].