Mesoscale Analysis of Conductive Binder Domain Morphology in Lithium-Ion Battery Electrodes

被引:111
作者
Trembacki, Bradley L. [1 ]
Mistry, Aashutosh N. [2 ]
Noble, David R. [1 ]
Ferraro, Mark E. [1 ]
Mukherjee, Partha P. [2 ]
Roberts, Scott A. [1 ]
机构
[1] Sandia Natl Labs, Engn Sci Ctr, POB 5800, Albuquerque, NM 87185 USA
[2] Purdue Univ, Sch Mech Engn, W Lafayette, IN 47907 USA
关键词
FINITE-ELEMENT-METHOD; X-RAY TOMOGRAPHY; POLYMERIC BINDER; TORTUOSITY; MICROSTRUCTURE; TRANSPORT; CATHODE; INHOMOGENEITIES; SIMULATIONS;
D O I
10.1149/2.0981813jes
中图分类号
O646 [电化学、电解、磁化学];
学科分类号
081704 ;
摘要
Typical lithium-ion battery electrodes are porous composites comprised of active material, conductive additives, and polymeric binder, with liquid electrolyte filling the pores. The mesoscale morphology of these constituent phases has a significant impact on both electrochemical reactions and transport across the electrode, which can ultimately limit macroscale battery performance. We reconstruct published X-ray computed tomography (XCT) data from a NMC333 cathode to study mesoscale electrode behavior on an as-manufactured electrode geometry. We present and compare two distinct models that computationally generate a composite binder domain (CBD) phase that represents both the polymeric binder and conductive additives. We compare the effect of the resulting CBD morphologies on electrochemically active area, pore phase tortuosity, and effective electrical conductivity. Both dense and nanoporous CBD are considered, and we observe that acknowledging CBD nanoporosity significantly increases effective electrical conductivity by up to an order of magnitude. Properties are compared to published measurements as well as to approximate values often used in homogenized battery-scale models. All reconstructions exhibit less than 20% of the standard electrochemically active area approximation. Order of magnitude discrepancies are observed between two popular transport simulation numerical schemes (finite element method and finite volume method), highlighting the importance of careful numerical verification. (c) The Author(s) 2018. Published by ECS. This is an open access article distributed under the terms of the Creative Commons Attribution Non-Commercial No Derivatives 4.0 License (CC BY-NC-ND, http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reuse, distribution, and reproduction in any medium, provided the original work is not changed in any way and is properly cited. For permission for commercial reuse, please email: oa@electrochem.org.
引用
收藏
页码:E725 / E736
页数:12
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