Enhancing solid-state lithium metal battery performance via indium-based modification of electrolytes and lithium metal surfaces: Mechanistic insights and optimization
Science China Press
image: the combination of the In-doping electrolyte and the InF3@Li anode provides exceptional electrochemical performances across different operating temperatures. This interface effectively mitigates Li dendrite growth by creating a physical barrier from the robust LiF phase, while the Li–In alloy induces uniform Li-ion deposition and accelerates Li transport dynamics.
Credit: ©Science China Press
This study is led by Prof. Chuang Yu (State Key Laboratory of Advanced Electromagnetic Engineering and Technology).
a modification strategy incorporating In compounds into both the LPSC electrolyte and Li metal anode was developed to enhance their interfacial stability, this exposed electrolyte enables high discharge capacity and excellent cycling performance in all-solid-state-batteries. Simulation results validate that the improved air/moisture stability is a result of the substitution of P and S with In and O in the argyrodite structure, respectively. In and O effectively reduces the aggregation of Li ions, thereby mitigating Li dendrite growth by forming Li–In alloy and Li2O at the interface or within voids.
Additionally, a surface treatment of Li metal with InF3 was proposed to give the formation of abundant LiF species and Li–In alloys at the anode surface. The In–O dual-doped electrolyte and InF3-modified Li metal anode synergistically establish complex interphases between the solid electrolyte and Li metal anode, resulting in exceptional electrochemical performance in both symmetric cells and all-solid-state-batteries across different operating temperatures. This study sheds light on the design of high-performance ASSLMBs capable of functioning across a wide temperature range.
See the article:
Enhancing solid-state lithium metal battery performance via indium-based modification of electrolytes and lithium metal surfaces: mechanistic insights and optimization
https://doi.org/10.1007/s11426-024-2275-2
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