Modeling the effects of pulse plating on dendrite growth in lithium metal batteries

Modeling the effects of pulse plating on dendrite growth in lithium metal batteries
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模拟脉冲电镀对锂金属电池枝晶生长的影响

DOI:
10.1016/j.electacta.2022.141227
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发表时间:
2022
影响因子:
6.6
通讯作者:
Ryan, Emily
Ryan, Emily
中科院分区:
材料科学2区
文献类型:
--
作者:
Melsheimer, Trevor;Morey, Madison;Cannon, Andrew;Ryan, Emily

文献摘要

相似文献

锂电极上树枝晶的形成给高性能、可充电的金属锂电池的发展带来了安全和循环方面的挑战。虽然恒流(CC)充电协议已经成为标准,但最近的研究表明,脉冲电镀(PP)充电协议在减少枝晶生长和提高循环寿命方面是有效的。本研究采用扩展的Butler-Volmer光滑粒子流体力学模型(EBV-SPH)模拟了阳极-电解液界面的枝晶生长。实现了方波PP协议,并将其与CC结果进行了比较,以了解充电协议对锂沉积和枝晶形态的影响。充电条件由施加的电势控制,因为该模型目前不强制实施恒流条件。过去的研究比较了CC和PP在单一充电电流密度下的结果。在锂离子电池的类似研究中,PP和CC在相同平均电流下的比较结果对循环性能几乎没有好处。在本研究中,在相同的平均电流下,与CC电镀相比,锂阳极PP电镀的性能更差。EBV-SPH模型的PP和CC模拟结果模拟了实验研究中发现的预期形貌和行为,并提供了比以前的计算模拟更详细的形貌。
The formation of dendrites on lithium electrodes presents safety and cycling challenges for the development of high-performance, rechargeable lithium metal batteries. While a constant current (CC) charging protocol has been standard, recent studies have shown that a pulse plating (PP) charging protocol is effective at reducing dendrite growth and improving cycle life. In this study, dendrite growth at the anode-electrolyte interface was simulated using an Extended Butler-Volmer Smoothed Particle Hydrodynamics (eBV-SPH) model implemented in LAMMPS. Square waveform PP protocols were implemented and compared to CC results to understand the effect of charging protocols on lithium deposition and dendrite morphology. The charging conditions were controlled by the applied potential, as the model does not currently enforce galvanostatic conditions. Past studies compared CC and PP results at a single charging current density. In similar work on lithium-ion batteries, PP and CC results compared at the identical mean current resulted in little to no benefit to cycling performance. In this investigation, lithium anode PP protocols performed worse when compared with CC plating at the identical mean current. The PP and CC simulation results from the eBV-SPH model simulated the expected morphology and behavior found in experimental investigations and provide more detailed morphologies than previous computational simulations.