Morphology prediction of lithium plating by finite element modeling and simulations based on non-linear kinetics

LIN Zhenkang1 QIAO Yaoxuan1 WANG Wei1 YUAN Hong2,3 FAN Cheng1 SUN Kening1

(1.School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing, China 100081)
(2.Advanced Research Institute for Multidisciplinary Science, Beijing Institute of Technology, Beijing, China 100081)
(3.Department of Chemical Engineering, Tsinghua University, Beijing, China 100084)

【Abstract】Lithium metal has a very high theoretical energy density and is one of the most promising anode materials for a new generation of lithium batteries. It is easy to form dendrites during the deposition of lithium metal, which greatly affects the safety and service life of lithium metal batteries. The mechanism of dendrite propagation in lithium metal batteries (LMB) is still to be fundamentally described. Herein, we studied the effects of electrochemical parameters on the behavior of lithium plating at the electrode/electrolyte interface using a tertiary current model by finite element methods. The results show that dendrite growth is intrinsically influenced by differences in concentration and potential. A higher diffusion coefficient (De) of Li ion in electrolyte is effective to improve the uniformity of local concentration and a smaller exchange current density (i0) is essential for reducing the sensitivity of interface reaction. Activation polarization is beneficial for uniform plating of lithium. Thus, the polarization curve is extremely important to determine whether lithium deposits uniformly or not. This work results in a new understanding of principles for dendrite growth, and is expected to lead to new insights into strategies for dendrite suppression.

【Keywords】 Li metal batteries; electrochemistry; kinetics; numerical simulation; Li dendrite;

【DOI】

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(Translated by WANG YX)

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This Article

ISSN:0438-1157

CN: 11-1946/TQ

Vol 71, No. 09, Pages 4228-4237

September 2020

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Article Outline

Abstract

  • Introduction
  • 1 Simulation and calculation
  • 2 Results and discussion
  • 3 Conclusions
  • References