Efficient Conservative Numerical Schemes for 1D Nonlinear Spherical Diffusion Equations with Applications in Battery Modeling

Mathematical models of batteries which make use of the intercalation of a species into a solid phase need to solve the corresponding mass transfer problem. Because solving this equation can significantly add to the computational cost of a model, various methods have been devised to reduce the computational time. In this paper we focus on a comparison of the formulation, accuracy, and order of the accuracy for two numerical methods of solving the spherical diffusion problem with a constant or non-constant diffusion coefficient: the finite volume method and the control volume method. Both methods provide perfect mass conservation and second order accuracy in mesh spacing, but the control volume method provides the surface concentration directly, has a higher accuracy for a given numbers of mesh points and can also be easily extended to variable mesh spacing. Variable mesh spacing can significantly reduce the number of points that are required to achieve a given degree of accuracy in the surface concentration (which is typically coupled to the other battery equations) by locating more points where the concentration gradients are highest. (C) 2013 The Electrochemical Society. All rights reserved.

[1]  Martin Z. Bazant,et al.  Cahn-Hilliard Reaction Model for Isotropic Li-ion Battery Particles , 2013 .

[2]  Martin Z. Bazant,et al.  Intercalation dynamics in rechargeable battery materials : General theory and phase-transformation waves in LiFePO4 , 2008 .

[3]  John Newman,et al.  Experiments on and Modeling of Positive Electrodes with Multiple Active Materials for Lithium-Ion Batteries , 2009 .

[4]  Kendall N Houk,et al.  Accounts of Chemical Research. , 2008, Accounts of chemical research.

[5]  Chaoyang Wang,et al.  Micro‐Macroscopic Coupled Modeling of Batteries and Fuel Cells I. Model Development , 1998 .

[6]  lawa Kanas,et al.  Metric Spaces , 2020, An Introduction to Functional Analysis.

[7]  Daniel A. Cogswell,et al.  Suppression of phase separation in LiFePO₄ nanoparticles during battery discharge. , 2011, Nano letters.

[8]  Shengyi Liu An analytical solution to Li/Li+ insertion into a porous electrode , 2006 .

[9]  M. Z. Bazant,et al.  Effects of Nanoparticle Geometry and Size Distribution on Diffusion Impedance of Battery Electrodes , 2012, 1205.6539.

[10]  Steven Dargaville,et al.  Predicting Active Material Utilization in LiFePO4 Electrodes Using a Multiscale Mathematical Model , 2010 .

[11]  Chaoyang Wang,et al.  Solid-state diffusion limitations on pulse operation of a lithium ion cell for hybrid electric vehicles , 2006 .

[12]  Ralph E. White,et al.  Comparison of approximate solution methods for the solid phase diffusion equation in a porous electrode model , 2007 .

[13]  M. Doyle,et al.  Modeling of Galvanostatic Charge and Discharge of the Lithium/Polymer/Insertion Cell , 1993 .

[14]  J. Strikwerda Finite Difference Schemes and Partial Differential Equations, Second Edition , 2004 .

[15]  V. Subramanian,et al.  Efficient Macro-Micro Scale Coupled Modeling of Batteries , 2005 .

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

[17]  J. Kerr Advances in lithium-ion batteries , 2003 .

[18]  Venkat Srinivasan,et al.  Discharge Model for the Lithium Iron-Phosphate Electrode , 2004 .

[19]  Daniel A. Cogswell,et al.  Coherency strain and the kinetics of phase separation in LiFePO4 nanoparticles. , 2011, ACS nano.

[20]  Martin Z. Bazant,et al.  Nonequilibrium Thermodynamics of Porous Electrodes , 2012, 1204.2934.

[21]  Wei Zhang,et al.  High Rate Capability of Li(Ni1/3Mn1/3Co1/3)O2 Electrode for Li-Ion Batteries , 2012 .

[22]  R. Huggins Solid State Ionics , 1989 .

[23]  V. Subramanian,et al.  Efficient Reformulation of Solid-Phase Diffusion in Physics-Based Lithium-ion Battery Models , 2009, ECS Transactions.

[24]  貞敏 井桁 新刊紹介・学会彙報 Bulletin de l'Academie des Sciences de l'URSS , 1939 .

[25]  Damian Burch,et al.  Size-dependent spinodal and miscibility gaps for intercalation in nanoparticles. , 2009, Nano letters.

[26]  Martin Z Bazant,et al.  Theory of chemical kinetics and charge transfer based on nonequilibrium thermodynamics. , 2012, Accounts of chemical research.

[27]  J. Strikwerda Finite Difference Schemes and Partial Differential Equations , 1989 .

[28]  B. Scrosati,et al.  Advances in lithium-ion batteries , 2002 .

[29]  Kevin T. Chu,et al.  A direct matrix method for computing analytical Jacobians of discretized nonlinear integro-differential equations , 2007, J. Comput. Phys..