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A three-dimensional meso-macroscopic model for Li-Ion intercalation batteries

Journal Article · · Journal of Power Sources
 [1];  [1];  [1];  [1];  [1];  [2]
  1. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Computer Science and Mathematics Division
  2. SABIC, Houston, TX (United States)
Through this study, we present a three-dimensional computational formulation for electrode-electrolyte-electrode system of Li-Ion batteries. The physical consistency between electrical, thermal and chemical equations is enforced at each time increment by driving the residual of the resulting coupled system of nonlinear equations to zero. The formulation utilizes a rigorous volume averaging approach typical of multiphase formulations used in other fields and recently extended to modeling of supercapacitors [1]. Unlike existing battery modeling methods which use segregated solution of conservation equations and idealized geometries, our unified approach can model arbitrary battery and electrode configurations. The consistency of multi-physics solution also allows for consideration of a wide array of initial conditions and load cases. The formulation accounts for spatio-temporal variations of material and state properties such as electrode/void volume fractions and anisotropic conductivities. The governing differential equations are discretized using the finite element method and solved using a nonlinearly consistent approach that provides robust stability and convergence. The new formulation was validated for standard Li-ion cells and compared against experiments. Finally, its scope and ability to capture spatio-temporal variations of potential and lithium distribution is demonstrated on a prototypical three-dimensional electrode problem.
Research Organization:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE); USDOE Office of Energy Efficiency and Renewable Energy (EERE), Vehicle Technologies Office (EE-3V)
Grant/Contract Number:
AC05-00OR22725
OSTI ID:
1261302
Alternate ID(s):
OSTI ID: 1325345
Journal Information:
Journal of Power Sources, Journal Name: Journal of Power Sources Vol. 325; ISSN 0378-7753
Publisher:
ElsevierCopyright Statement
Country of Publication:
United States
Language:
English

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Cited By (5)

A review on battery management system from the modeling efforts to its multiapplication and integration journal April 2019
Computational modeling of Li-ion batteries journal August 2016
Mesoscale Electrochemical Performance Simulation of 3D Interpenetrating Lithium-Ion Battery Electrodes journal January 2019
Volume-Averaged Electrochemical Performance Modeling of 3D Interpenetrating Battery Electrode Architectures journal September 2019
Size Dependence of Transport Non-Uniformities on Localized Plating in Lithium-Ion Batteries journal January 2018

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