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Phase field modeling of dendrite growth mechanism of Mg and Li in electrodeposition

  • Yu Xiong (Co-first Author)
  • , Boxun Yan (Co-first Author)
  • , Qing Li
  • , Chunyi Zhi
  • , Jun Fan*
  • *Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

4 Downloads (CityUHK Scholars)

Abstract

Dendrite growth causing short circuits is a long-standing challenge in the battery field. Lithium-ion batteries are always prone to form dendrite, while magnesium-ion batteries are not. In this paper, an advanced phase field model is formulated to investigate the detailed patterns and growth differences between the lithium and magnesium deposition process. The simulation results show that the deposition growth of ion is relative to the deposition time. Furthermore, the deposition growth morphology of Li is the irregular tree-like pattern, while the deposition pattern of Mg is denser and smoother. According to our phase field model results, the contribution of a smaller electric field and driving force are important factors to make Mg form a dense deposition layer rather than a tree-like dendritic morphology, which Li prefers to form. For the dendrite growth of Li, a larger electric field and driving force at the dendrite tip lead to a stronger concentration of ion and more rapid dendrite growth. And the “entrainment” phenomenon of ion leading to positive feedback further accelerates the deposition of Li ion at the dendrite tip. Furthermore, the simulation results exhibit that the overpotential required to stimulate the rapid growth of magnesium dendrites is typically smaller than that of lithium. © 2024 Elsevier B.V.
Original languageEnglish
Article number234162
JournalJournal of Power Sources
Volume597
Online published7 Feb 2024
DOIs
Publication statusPublished - 30 Mar 2024

Funding

This work was supported by the Research Grants Council of Hong Kong (CityU 11305919 and 11308620) and NSFC/RGC Joint Research Scheme N_CityU104/19. Hong Kong Research Grant Council Collaborative Research Fund: C1002-21G and C1017-22G. This research made use of the computing resources of the X-GPU cluster supported by the Hong Kong Research Grant Council Collaborative Research Fund: C6021-19 EF.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Research Keywords

  • Dendrite
  • Electrodeposition
  • Lithium-ion battery
  • Magnesium-ion battery
  • Phase field model

Publisher's Copyright Statement

  • COPYRIGHT TERMS OF DEPOSITED POSTPRINT FILE: © 2024 Elsevier. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/.

RGC Funding Information

  • RGC-funded

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