Efficient simulation and model reformulation of two-dimensional electrochemical thermal behavior of lithium-ion batteries

Northrop, Paul W. C.; Pathak, Manan; Rife, Derek; De, Sumitava; Santhanagopalan, Shriram; Subramanian, Venkat R.

doi:10.1149/2.0341506jes

Title: Efficient simulation and model reformulation of two-dimensional electrochemical thermal behavior of lithium-ion batteries

Journal Article · Mon Mar 09 00:00:00 EDT 2015 · Journal of the Electrochemical Society

DOI:https://doi.org/10.1149/2.0341506jes· OSTI ID:1242473

Northrop, Paul W. C. ^[1]; Pathak, Manan ^[2]; Rife, Derek ^[3]; De, Sumitava ^[3]; Santhanagopalan, Shriram ^[4]; Subramanian, Venkat R. ^[5]

CFD Research Corp., Huntsville, AL (United States)
Univ. of Washington, Seattle, WA (United States)
Washington Univ., St. Louis, MO (United States)
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Univ. of Washington, Seattle, WA (United States); Pacific Northwest National Lab. (PNNL), Richland, WA (United States)

Lithium-ion batteries are an important technology to facilitate efficient energy storage and enable a shift from petroleum based energy to more environmentally benign sources. Such systems can be utilized most efficiently if good understanding of performance can be achieved for a range of operating conditions. Mathematical models can be useful to predict battery behavior to allow for optimization of design and control. An analytical solution is ideally preferred to solve the equations of a mathematical model, as it eliminates the error that arises when using numerical techniques and is usually computationally cheap. An analytical solution provides insight into the behavior of the system and also explicitly shows the effects of different parameters on the behavior. However, most engineering models, including the majority of battery models, cannot be solved analytically due to non-linearities in the equations and state dependent transport and kinetic parameters. The numerical method used to solve the system of equations describing a battery operation can have a significant impact on the computational cost of the simulation. In this paper, a model reformulation of the porous electrode pseudo three dimensional (P3D) which significantly reduces the computational cost of lithium ion battery simulation, while maintaining high accuracy, is discussed. This reformulation enables the use of the P3D model into applications that would otherwise be too computationally expensive to justify its use, such as online control, optimization, and parameter estimation. Furthermore, the P3D model has proven to be robust enough to allow for the inclusion of additional physical phenomena as understanding improves. In this study, the reformulated model is used to allow for more complicated physical phenomena to be considered for study, including thermal effects.

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Research Organization:: National Renewable Energy Lab. (NREL), Golden, CO (United States)

Sponsoring Organization:: USDOE

Grant/Contract Number:: AC36-08GO28308

OSTI ID:: 1242473

Report Number(s):: NREL/JA-5400-64439

Journal Information:: Journal of the Electrochemical Society, Vol. 162, Issue 6; Related Information: Journal of the Electrochemical Society; ISSN 0013-4651

Publisher:: The Electrochemical SocietyCopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 41 works

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