Volume 8 Issue 4
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Article Navigation >  Green Energy&Environment  > 2023  >  8(4): 939-944
Kecheng Pan, Minghui Li, Weicheng Wang, Shuochao Xing, Yaying Dou, Shasha Gao, Zhang Zhang, Zhen Zhou. A leap by the rise of solid-state electrolytes for Li-air batteries. Green Energy&Environment, 2023, 8(4): 939-944. doi: 10.1016/j.gee.2023.02.010
Citation: Kecheng Pan, Minghui Li, Weicheng Wang, Shuochao Xing, Yaying Dou, Shasha Gao, Zhang Zhang, Zhen Zhou. A leap by the rise of solid-state electrolytes for Li-air batteries. Green Energy&Environment, 2023, 8(4): 939-944. doi: 10.1016/j.gee.2023.02.010
shu

A leap by the rise of solid-state electrolytes for Li-air batteries

doi: 10.1016/j.gee.2023.02.010

  • a. Interdisciplinary Research Center for Sustainable Energy Science and Engineering (IRC4SE2), School of Chemical Engineering, Zhengzhou University, Zhengzhou, 450001, China;

  • b. Key Laboratory of Microelectronics and Energy of Henan Province, Department of Physics and Electronic Engineering, Xinyang Normal University, Xinyang, 464000, China;

  • c. Key Laboratory of Advanced Energy Materials Chemistry (Ministry of Education), College of Chemistry, Nankai University, Tianjin, 300071, China

Funds:

This work was supported by National Key Research and Development Program of China (No. 2021YFF0500600), NSFC (22279120), Key R&

D projects in Henan Province (221111240100).

  • Received date 13 January 2023, Accepted date 23 February 2023, RevRecd date 15 February 2023, Publish date 28 February 2023,
    Abstract
  • Li-air batteries have attracted extensive attention because of their ultrahigh theoretical energy density. However, the potential safety hazard of flammable organic liquid electrolytes hinders their practical applications. Replacing liquid electrolytes with solidstate electrolytes (SSEs) is expected to fundamentally overcome the safety issues. In this work, we focus on the development and challenge of solid-stateLi-air batteries (SSLABs). The rise of different types of SSEs, interfacial compatibility and verifiability in SSLABs are presented. The corresponding strategies and prospects of SSLABs are also proposed. In particular, combining machine learning method with experiment and in situ (or operando) techniques is imperative to accelerate the development of SSLABs.

     

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