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Single-step synthesis of titanium nitride-oxide composite and AI-driven aging forecast for lithium-sulfur batteries

Journal of Materials Chemistry A, ISSN: 2050-7496, Vol: 12, Issue: 15, Page: 9017-9030
2024
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Article Description

In this study, the polysulfide shuttle effect, a major impediment to the efficiency of lithium-sulfur (Li-S) batteries, is addressed. A titanium nitride-oxide (TiO-TiN) composite is synthesized via a single-step liquid-phase reaction at 60 °C only, significantly streamlining the production for large-scale applications. This composite, serving as a cathode material in Li-S batteries, demonstrates remarkable performance, with an initial capacity of 774 mA h g, and maintains 517 mA h g after 500 cycles at a 0.5C rate with a decay rate of 0.066% per cycle. The integration of a Super P carbon-coated separator further enhances the battery performance, achieving an initial capacity of 926 mA h g and maintaining 628 mA h g after 500 cycles, with the lower decay rate of 0.064% per cycle. Moreover, the integration of Long Short-Term Memory (LSTM) networks into data analysis has facilitated the creation of a deep learning-based predictive model. This model is adept at accurately forecasting the aging effects of batteries up to 100 cycles in advance. This AI-driven approach represents a novel paradigm in battery research, offering the potential to expedite the battery testing process and streamline quality control procedures. Such advancements are pivotal in making the commercialization of Li-S batteries more feasible and efficient.

Bibliographic Details

Ka Chun Li; Xuanming Chen; Frank Leung Yuk Lam; Xijun Hu; Aghil Sabbaghi; Chi Ho Wong; Chak Yin Tang

Royal Society of Chemistry (RSC)

Chemistry; Energy; Materials Science

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