Abstract
In this paper 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. Its scope and ability to capture spatio-temporal variations of potential and lithium distribution is demonstrated on a prototypical three-dimensional electrode problem.
Original language | English |
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Pages (from-to) | 42-50 |
Number of pages | 9 |
Journal | Journal of Power Sources |
Volume | 325 |
DOIs | |
State | Published - Sep 1 2016 |
Bibliographical note
Publisher Copyright:© 2016 Elsevier B.V.
Funding
Notice: This manuscript has been authored by UT-Battelle, LLC under Contract No. DE-AC05-00OR22725 with the U.S. Department of Energy. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan ( http://energy.gov/downloads/doe-public-access-plan ). This research at Oak Ridge National Laboratory , managed by UT-Battelle, LLC, for the U.S. Department of Energy under contract DE-AC05-00OR22725 , was sponsored by the Vehicle Technologies Program for the Office of Energy Efficiency and Renewable Energy .
Funders | Funder number |
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U.S. Department of Energy | DE-AC05-00OR22725 |
Office of Energy Efficiency and Renewable Energy | |
Oak Ridge National Laboratory |
Keywords
- Li-ion
- Modeling and simulation