Understanding the microstructure behaviour of the Li-ion battery separator under compression using 3D image-based modelling

Sun, Wei; Li, Q.M.

doi:10.1016/j.ijmecsci.2021.106976

Cited by 14 publications

(2 citation statements)

References 58 publications

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“…The averaging assumption results in a homogenous electrode representation that ignores much of the detailed information of the microstructure that is known to exist and has been probed with a variety of imaging techniques at the macroscale and nanoscale level. [49][50][51][52][53][54][55][56][57][58][59][60][61] Many microscale electrochemical simulations [62][63][64][65][66][67][68][69][70] can include this detailed information and local non-uniformities, however there is both a very intense manual pre-processing that is necessary, and very high computational cost once the microstructure has been resolved, cleaned up, and meshed.…”

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confidence: 99%

Dynamic Multi-Dimensional Numerical Transport Study of Lithium-Ion Battery Active Material Microstructures for Automotive Applications

Lopata

Garrick

Wang

et al. 2023

J. Electrochem. Soc.

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In support of GM’s traction battery efforts, we derived and implemented a method to describe the electrochemical performance of a battery cell considering the nuances of the electrode microstructure at the anode and the cathode and the corresponding impact on the electrochemical transport in the solid and liquid phases. To assess the capability of the method, we compared model results from the microstructure framework with the commonly used continuum-level porous electrode model, commonly referred to as the pseudo-2-dimensional model, or the Newman model. The microstructure modeling framework was applied to simulate the electrochemical and transport processes within the battery cell to predict the concentration gradients, local state-of-charge distributions, reaction distributions, and the overall terminal voltage of the system. In this report, we provide a commentary on the validity and practicality of the microstructure approach to drive battery cell design.

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Section: List Of Symbolsmentioning

confidence: 99%

Dynamic Multi-Dimensional Numerical Transport Study of Lithium-Ion Battery Active Material Microstructures for Automotive Applications

Lopata

Garrick

Wang

et al. 2023

J. Electrochem. Soc.

View full text Add to dashboard Cite

show abstract

“…The averaging assumption results in a homogenous electrode representation that ignores much of the detailed information of the microstructure that is known to exist and has been probed with a variety of imaging techniques at the macroscale and nanoscale level [49][50][51][52][53][54][55][56][57][58][59][60][61] . Many microscale electrochemical simulations [62][63][64][65][66][67][68][69][70] can include this detailed information and local non-uniformities, however there is both a very intense manual preprocessing that is necessary, and very high computational cost once the microstructure has been resolved, cleaned up, and meshed.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Multi-Dimensional Numerical Transport Study of Lithium-Ion Battery Active Material Microstructures for Automotive Applications

et al. 2022

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Conventional porous electrode battery modeling for a variety of applications makes assumptions to reduce the complexity of the simulation where tradeoffs between computational complexity and electrode detail can be realized without significantly impacting the accuracy of the results. The most common porous electrode battery model is the pseudo-two-dimensional (P2D) model as popularized by Newman and colleagues. These porous electrode battery models typically focus on simulating gradients in two dimensions; the primary dimension through the thickness of the battery cell electrodes and separators, and the secondary dimension in the radial direction of spherical active material particles. The particles are distributed throughout what is assumed to be a homogeneous porous electrode domain. Typically, uniformity in particle size, porosity, and tortuosity is assumed. In this work, the development of a three-dimensional microstructure (3DMS) lithium-ion battery model will be presented. With the increase in computational resources available in academia and industry, simulation of the microstructure in 3D is possible. Active material domains of both the anode and cathode can be generated stochastically to create microstructures representing the electrodes, with voids surrounding the particle representing the electrolyte. A comparison between the P2D and 3DMS models with sensitivity analysis focused on items that can be probed with microstructure simulations will be discussed and similarities and/or differences in charge/discharge characteristics, overpotentials, and concentration profiles will be presented. The findings from this work will provide a path to simulate at the microstructure level, drive electrode design, and translate the effects of heterogeneity into a homogenous porous electrode model.

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A Review of Multiscale Mechanical Failures in Lithium-Ion Batteries: Implications for Performance, Lifetime and Safety

Wu,

Chen,

Luan

et al. 2024

Electrochem. Energy Rev.

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Understanding the microstructure behaviour of the Li-ion battery separator under compression using 3D image-based modelling

Cited by 14 publications

References 58 publications

Dynamic Multi-Dimensional Numerical Transport Study of Lithium-Ion Battery Active Material Microstructures for Automotive Applications

Dynamic Multi-Dimensional Numerical Transport Study of Lithium-Ion Battery Active Material Microstructures for Automotive Applications

Dynamic Multi-Dimensional Numerical Transport Study of Lithium-Ion Battery Active Material Microstructures for Automotive Applications

A Review of Multiscale Mechanical Failures in Lithium-Ion Batteries: Implications for Performance, Lifetime and Safety

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