An Analytical Method to Determine Tortuosity in Rechargeable Battery Electrodes

In high energy density, low porosity, lithium-ion battery electrodes, the underlying microstructural tortuosity controls the macroscopic charge capacity, average lithium-ion diffusivity, and macroscopic resistivity of the cell, particularly at high discharge rates and power densities. In this paper, an analytical framework is presented to extend widely used empirical tortuosity relations such as the Bruggemann relation to incorporate the effects of the mesoscale tortuosity through analytical integration along the width of the electrode (in the limit of high porosities), and integration along a statistically representative tortuous path (in the limit of low porosities). The framework presented herein enables to establish analytical tortuosity-porosity relations that combine the constitutive properties of the individual components. As an example application, the macroscopic tortuosity-porosity relation of a mixture of two porous particle systems of widely different length scales and well-known individual tortuosity constitutive equations, one displaying mesoscale porosity (the carbon black-electrolyte mixture) and a second one displaying microporosity (the electrochemically active phase), are combined into a self-consistent macroscopic tortuosity expression that is in agreement with recently reported empirical measures of tortuosity.

[1]  John N. Harb,et al.  Modeling of Particle-Particle Interactions in Porous Cathodes for Lithium-Ion Batteries , 2007 .

[2]  C. M. Doyle Design and simulation of lithium rechargeable batteries , 2010 .

[3]  J. Newman,et al.  Heat‐Generation Rate and General Energy Balance for Insertion Battery Systems , 1997 .

[4]  D. A. G. Bruggeman Berechnung verschiedener physikalischer Konstanten von heterogenen Substanzen. I. Dielektrizitätskonstanten und Leitfähigkeiten der Mischkörper aus isotropen Substanzen , 1935 .

[5]  K. Zaghib,et al.  Quantifying tortuosity in porous Li-ion battery materials , 2009 .

[6]  Chaoyang Wang,et al.  Thermal‐Electrochemical Modeling of Battery Systems , 2000 .

[7]  M. Doyle,et al.  Simulation and Optimization of the Dual Lithium Ion Insertion Cell , 1994 .

[8]  D. Stephenson,et al.  Modeling 3D Microstructure and Ion Transport in Porous Li-Ion Battery Electrodes , 2011 .

[9]  Thomas F. Marinis,et al.  Ultrahigh‐Energy‐Density Microbatteries Enabled by New Electrode Architecture and Micropackaging Design , 2010, Advanced materials.

[10]  Zhangxin Chen,et al.  Critical review of the impact of tortuosity on diffusion , 2007 .

[11]  Ralph E. White,et al.  Mathematical modeling of secondary lithium batteries , 2000 .

[12]  Nigel P. Brandon,et al.  Characterization of the 3-dimensional microstructure of a graphite negative electrode from a Li-ion battery , 2010 .

[13]  Q. Horn,et al.  The Effect of Microstructure on the Galvanostatic Discharge of Graphite Anode Electrodes in LiCoO2-Based Rocking-Chair Rechargeable Batteries , 2009 .

[14]  J. Tarascon,et al.  Comparison of Modeling Predictions with Experimental Data from Plastic Lithium Ion Cells , 1996 .

[15]  James W. Evans,et al.  Electrochemical‐Thermal Model of Lithium Polymer Batteries , 2000 .

[16]  J. Nye Physical Properties of Crystals: Their Representation by Tensors and Matrices , 1957 .