Understanding and Predicting the Lithium Dendrite Formation in Li-Ion Batteries: Phase Field Model

2014 ◽  
Vol 61 (8) ◽  
pp. 1-9 ◽  
Author(s):  
H.-W. Zhang ◽  
Z. Liu ◽  
L. Liang ◽  
L. Chen ◽  
Y. Qi ◽  
...  
Author(s):  
Lei Chen

Lithium (Li) dendrite formation compromises the reliability of Li-ion batteries, either because dendrite pieces lose electrical contractor or growing dendrite penetrates the separator and leads to internal short-circuiting. In this paper, a multi-scale computational approach integrating phase-field model and first-principles calculation is proposed to predict the Li dendrite formation at the anode/electrolyte interface of Li-ion batteries. The first-principles calculation is employed to atomically determine the interfacial energy, which is subsequently fed into the phase-field model at the micro-scale. 1D distribution of fields is first analyzed to validate the proposed model. An apparent 2D tree-type Li dendrite, widely observed in experiments during electrodeposition, is produced using the model. Finally, the 2D dendritic evolution under different electrochemical conditions specified by the applied current densities is discussed.


2016 ◽  
Author(s):  
Larry Kenneth Aagesen ◽  
Daniel Schwen

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Min Yang ◽  
Lu Wang ◽  
Wentao Yan

AbstractA three-dimensional phase-field model is developed to simulate grain evolutions during powder-bed-fusion (PBF) additive manufacturing, while the physically-informed temperature profile is implemented from a thermal-fluid flow model. The phase-field model incorporates a nucleation model based on classical nucleation theory, as well as the initial grain structures of powder particles and substrate. The grain evolutions during the three-layer three-track PBF process are comprehensively reproduced, including grain nucleation and growth in molten pools, epitaxial growth from powder particles, substrate and previous tracks, grain re-melting and re-growth in overlapping zones, and grain coarsening in heat-affected zones. A validation experiment has been carried out, showing that the simulation results are consistent with the experimental results in the molten pool and grain morphologies. Furthermore, the grain refinement by adding nanoparticles is preliminarily reproduced and compared against the experimental result in literature.


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