Modeling the effective conductivity of the solid and the pore phase in granular materials using resistor networks

被引:35
作者
Birkholz, Oleg [1 ]
Gan, Yixiang [2 ]
Kamlah, Marc [1 ]
机构
[1] Karlsruhe Inst Technol, Hermann von Helmholtz Pl 1, D-76344 Eggenstein Leopoldshafen, Germany
[2] Univ Sydney, Sch Civil Engn, Sydney, NSW 2006, Australia
关键词
Granular electrode structures; Effective conductivity; Resistor network method; EFFECTIVE THERMAL-CONDUCTIVITY; HOSHEN-KOPELMAN ALGORITHM; ELECTROCHEMICAL PERFORMANCE; COMPUTER-SIMULATION; RANDOM PACKING; ELECTRODE; PERMEABILITY; BATTERIES; EXTENSION; CATHODES;
D O I
10.1016/j.powtec.2019.04.005
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
To model the effective conductivity of the solid and the pore phase of a lithium-ion battery (UB) we make use of the resistor network method (RN). We recall the scheme on how resistor networks can generally be set up and numerically solved. Furthermore, we explain how this general method can be applied to an assembly of spherical particles where for the individual resistances between touching particles an analytical formula is being used. As a new feature, we use the same scheme to setup resistor networks for the pore phase of an assembly of spherical particles where we propose a simple geometric approach for the calculation of the individual resistances of pore throats. For the validation of this method we created several random particle structures with different size distributions and calculated effective conductivities with both the RN and the finite element method (FEM). On the one hand, the comparison between RN and FEM shows a very good performance of the RN because the mean error lies within 4%. On the other hand, the RN results always lie within the well-known theoretical bounds for the effective conductivity in porous media. As an important aspect, the RN has proven to be highly efficient concerning the computation time and the resource costs. (C) 2019 Published by Elsevier B.V.
引用
收藏
页码:54 / 65
页数:12
相关论文
共 41 条
[1]   Extension of Hoshen-Kopelman algorithm to non-lattice environments [J].
Al-Futaisi, A ;
Patzek, TW .
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2003, 321 (3-4) :665-678
[2]  
[Anonymous], 2015, EFFECTIVE MEDIUM THE
[3]   Modeling the effective thermal conductivity of random packing of spheres through densification [J].
Argento, C ;
Bouvard, D .
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER, 1996, 39 (07) :1343-1350
[4]   Electrical anisotropy and conductivity distribution functions of fractal random networks and of the crust: The scale effect of connectivity [J].
Bahr, K .
GEOPHYSICAL JOURNAL INTERNATIONAL, 1997, 130 (03) :649-660
[5]   THERMAL OR ELECTRICAL-CONDUCTION THROUGH A GRANULAR MATERIAL [J].
BATCHELOR, GK ;
OBRIEN, RW .
PROCEEDINGS OF THE ROYAL SOCIETY OF LONDON SERIES A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 1977, 355 (1682) :313-333
[6]   Electrical conductivity models in saturated porous media: A review [J].
Cai, Jianchao ;
Wei, Wei ;
Hu, Xiangyun ;
Wood, David A. .
EARTH-SCIENCE REVIEWS, 2017, 171 :419-433
[7]  
Carslaw HS, 1959, CONDUCTION HEAT SOLI
[8]   Thermal conductivity bounds for isotropic, porous materials [J].
Carson, JK ;
Lovatt, SJ ;
Tanner, DJ ;
Cleland, AC .
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER, 2005, 48 (11) :2150-2158
[9]   Porous cathode optimization for lithium cells: Ionic and electronic conductivity, capacity, and selection of materials [J].
Chen, Y. -H. ;
Wang, C. -W. ;
Zhang, X. ;
Sastry, A. M. .
JOURNAL OF POWER SOURCES, 2010, 195 (09) :2851-2862
[10]   DISCRETE NUMERICAL-MODEL FOR GRANULAR ASSEMBLIES [J].
CUNDALL, PA ;
STRACK, ODL .
GEOTECHNIQUE, 1979, 29 (01) :47-65