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A Gaussian Process-Based Crack Pattern Modeling Approach for Battery Anode Materials Design

机译:基于高斯工艺的电池阳极材料设计裂纹模式建模方法

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Silicon-based anodes are one of the promising candidates for the next generation high-power/energy density lithium ion batteries (LIBs). However, a major drawback limiting the practical application of the Si anode is that Si experiences a significant volume change during lithiation/delithiation, which induces high stresses causing degradation and pulverization of the anode. This study focuses on crack initiation within a Si anode during the delithiation process. A multi-physics-based finite element (FE) model is built to simulate the electrochemical process and crack generation during delithiation. On top of that, a Gaussian process (GP)-based surrogate model is developed to assist the exploration of the crack patterns within the anode design space. It is found that the thickness of the Si coating layer, T-Si, the yield strength of the Si material, sigma(Fc), the cohesive strength between Si and the substrate, sigma(Fs), and the curvature of the substrate, rho, have large impacts on the cracking behavior of Si. This coupled FE simulation-GP surrogate model framework is also applicable to other types of LIB electrodes and provides fundamental insights as building blocks to investigate more complex internal geometries.
机译:硅基阳极是下一代高功率/能量密度锂离子电池的候选材料之一。然而,限制硅阳极实际应用的一个主要缺点是,在锂化/脱锂过程中,硅经历了显著的体积变化,这会导致高应力,导致阳极退化和粉化。本研究主要研究脱锂过程中硅阳极内的裂纹萌生。建立了一个基于多物理的有限元模型来模拟脱锂过程中的电化学过程和裂纹产生。在此基础上,开发了基于高斯过程(GP)的替代模型,以帮助探索阳极设计空间内的裂纹模式。研究发现,Si涂层厚度T-Si、Si材料的屈服强度sigma(Fc)、Si与基体之间的粘结强度sigma(Fs)以及基体的曲率rho对Si的开裂行为有很大影响。这种耦合的有限元模拟GP替代模型框架也适用于其他类型的LIB电极,并作为研究更复杂内部几何形状的构建块提供了基本的见解。

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