Data driven analytics of porous battery microstructures
Data driven analytics of porous battery microstructures
复制标题
DOI：
10.1039/d1ee00454a
复制
发表时间：
2021-03-23
影响因子：
32.5
通讯作者：
Garcia, R. Edwin
中科院分区：
文献类型：
--
作者：
Deva, Abhas;Krs, Vojtech;Garcia, R. Edwin
传统上，多孔锂离子电池电极的微观结构优化是由基于轶事理解和直觉的实验试错努力驱动的，从而开发出有用但定性的经验法则来指导多孔储能技术的设计。在本文中，提出了一个先进的数据驱动的框架，其中实验可访问的微观结构参数，如活性颗粒形态和空间排列，底层孔隙率，细胞厚度等的影响，对相应的宏观功率和能量密度进行了系统的评估。对于LixC6| LMO化学，对文献中报道的53356种电池架构进行的分析显示，对于基于扁圆形颗粒的商业微结构，与遭受大极化损失的高度纹理化样品相比，轻度纹理化样品提供更高的功率和能量密度响应。相比之下，高纵横比的扁长形颗粒提供最高的能量和功率密度，特别是在线状形态的限制下。基于多面体的胶体微结构表现出高的面积密度和低的弯曲度，但与目前制造的颗粒形态相比，没有提供明显的功率和能量密度益处。所开发的框架能够建立通用的微结构设计准则，并根据预期的应用提出最佳的电极微结构，给定阳极和阴极化学。
The microstructural optimization of porous lithium ion battery electrodes has traditionally been driven by experimental trial and error efforts, based on anecdotal understanding and intuition, leading to the development of useful but qualitative rules of thumb to guide the design of porous energy storage technology. In this paper, an advanced data-driven framework is presented wherein the effect of experimentally accessible microstructural parameters such as active particle morphology and spacial arrangement, underlying porosity, cell thickness, etc., on the corresponding macroscopic power and energy density is systematically assessed. For the LixC6 | LMO chemistry, an analysis performed on 53 356 battery architectures reported in the literature revealed that for commercial microstructures based on oblate-shaped particles, lightly textured samples deliver higher power and energy density responses as compared to highly textured samples, which suffer from large polarization losses. In contrast, high aspect ratio prolate-shaped particles deliver the highest energy and power density, particularly in the limit of wire-like morphologies. Polyhedra-based colloidal microstructures demonstrate high area densities, and low tortuosities, but provide no appreciable power and energy density benefit over currently manufactured particle morphologies. The developed framework enables to establish general microstructure design guidelines and propose optimal electrode microstructures based on the intended application, given an anode and cathode chemistry.