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Title: Efficient and Extensible Quasi-Explicit Modular Nonlinear Multiscale Battery Model: GH-MSMD

Complex physics and long computation time hinder the adoption of computer aided engineering models in the design of large-format battery cells and systems. A modular, efficient battery simulation model -- the multiscale multidomain (MSMD) model -- was previously introduced to aid the scale-up of Li-ion material and electrode designs to complete cell and pack designs, capturing electrochemical interplay with 3-D electronic current pathways and thermal response. Here, this paper enhances the computational efficiency of the MSMD model using a separation of time-scales principle to decompose model field variables. The decomposition provides a quasi-explicit linkage between the multiple length-scale domains and thus reduces time-consuming nested iteration when solving model equations across multiple domains. In addition to particle-, electrode- and cell-length scales treated in the previous work, the present formulation extends to bus bar- and multi-cell module-length scales. We provide example simulations for several variants of GH electrode-domain models.
Authors:
 [1] ;  [1] ;  [1] ;  [1]
  1. National Renewable Energy Lab. (NREL), Golden, CO (United States)
Publication Date:
Report Number(s):
NREL/JA-5400-67202
Journal ID: ISSN 0013-4651
Grant/Contract Number:
AC36-08GO28308
Type:
Accepted Manuscript
Journal Name:
Journal of the Electrochemical Society
Additional Journal Information:
Journal Volume: 164; Journal Issue: 6; Journal ID: ISSN 0013-4651
Publisher:
The Electrochemical Society
Research Org:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Vehicle Technologies Office (EE-3V)
Country of Publication:
United States
Language:
English
Subject:
30 DIRECT ENERGY CONVERSION; 3D; battery; lithium-ion battery; model; multi-scale; simulation; transport
OSTI Identifier:
1351574

Kim, Gi-Heon, Smith, Kandler, Lawrence-Simon, Jake, and Yang, Chuanbo. Efficient and Extensible Quasi-Explicit Modular Nonlinear Multiscale Battery Model: GH-MSMD. United States: N. p., Web. doi:10.1149/2.0571706jes.
Kim, Gi-Heon, Smith, Kandler, Lawrence-Simon, Jake, & Yang, Chuanbo. Efficient and Extensible Quasi-Explicit Modular Nonlinear Multiscale Battery Model: GH-MSMD. United States. doi:10.1149/2.0571706jes.
Kim, Gi-Heon, Smith, Kandler, Lawrence-Simon, Jake, and Yang, Chuanbo. 2017. "Efficient and Extensible Quasi-Explicit Modular Nonlinear Multiscale Battery Model: GH-MSMD". United States. doi:10.1149/2.0571706jes. https://www.osti.gov/servlets/purl/1351574.
@article{osti_1351574,
title = {Efficient and Extensible Quasi-Explicit Modular Nonlinear Multiscale Battery Model: GH-MSMD},
author = {Kim, Gi-Heon and Smith, Kandler and Lawrence-Simon, Jake and Yang, Chuanbo},
abstractNote = {Complex physics and long computation time hinder the adoption of computer aided engineering models in the design of large-format battery cells and systems. A modular, efficient battery simulation model -- the multiscale multidomain (MSMD) model -- was previously introduced to aid the scale-up of Li-ion material and electrode designs to complete cell and pack designs, capturing electrochemical interplay with 3-D electronic current pathways and thermal response. Here, this paper enhances the computational efficiency of the MSMD model using a separation of time-scales principle to decompose model field variables. The decomposition provides a quasi-explicit linkage between the multiple length-scale domains and thus reduces time-consuming nested iteration when solving model equations across multiple domains. In addition to particle-, electrode- and cell-length scales treated in the previous work, the present formulation extends to bus bar- and multi-cell module-length scales. We provide example simulations for several variants of GH electrode-domain models.},
doi = {10.1149/2.0571706jes},
journal = {Journal of the Electrochemical Society},
number = 6,
volume = 164,
place = {United States},
year = {2017},
month = {3}
}