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Research Article

Theoretical kinetic quantitative calculation predicted the expedited polysulfides degradation

Siyu Zhang1Xianchao Rong1Tao Li2Wenjie Ren1Hao Ren1( )Linjie Zhi1Mingbo Wu1 ( )Zhongtao Li1( )
State Key Laboratory of Heavy Oil Processing, College of Chemical Engineering, China University of Petroleum (East China), Qingdao 266580, China
National Engineering Center of Coal slurry and Coal Chemical Co., Ltd., LTD, Jinan 250014, China
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Abstract

The performance of lithium-sulfur battery is restricted by the lower value of electrode conductance and the sluggish LiPSs degradation kinetics. Unfortunately, the degradation rate of polysulfides was mostly attributed to the catalytic energy barrier in previous, which is unable to give accurate predictions on the performance of lithium-sulfur battery. Thereby, a quantitative framework relating the battery performance to catalytic energy barrier and electrical conductivity of the cathode host is developed here to quantitate the tendency. As the model compound, calculated-Ti4O7 (c-Ti4O7) has the highest comprehensive index with excellent electrical conductivity, although the catalytic energy barrier is not ideal. Through inputting the experimental properties such as impedance and charge/discharge data into the as-build model, the final conclusion is still in line with our prediction that Ti4O7 host shows the most excellent electrochemical performance. Therefore, the accurate model here would be attainable to design lithium-sulfur cathode materials with a bottom–up manner.

Graphical Abstract

We constructed a semi-empirical model to predict the performance of lithium-sulfur batteries from the properties of the cathode materials. And the accuracy of the model has also been verified experimentally.

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Nano Research
Pages 12035-12042

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Cite this article:
Zhang S, Rong X, Li T, et al. Theoretical kinetic quantitative calculation predicted the expedited polysulfides degradation. Nano Research, 2023, 16(10): 12035-12042. https://doi.org/10.1007/s12274-022-5061-4
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Received: 08 August 2022
Revised: 11 September 2022
Accepted: 14 September 2022
Published: 12 November 2022
© Tsinghua University Press 2022