Mechanical modeling of battery separator based on microstructure image analysis and stochastic characterization

Xu, Hongyi; Zhu, Min; Marcicki, James; Yang, Xiao Guang

doi:10.1016/j.jpowsour.2017.02.002

Title: Mechanical modeling of battery separator based on microstructure image analysis and stochastic characterization

Full Record
Other Related Research

Authors:: Xu, Hongyi; Zhu, Min; Marcicki, James; Yang, Xiao Guang

Publication Date:: Wed Mar 01 00:00:00 EST 2017

Sponsoring Org.:: USDOE

OSTI Identifier:: 1415677

Grant/Contract Number:: 7288

Resource Type:: Publisher's Accepted Manuscript

Journal Name:: Journal of Power Sources

Additional Journal Information:: Journal Name: Journal of Power Sources Journal Volume: 345 Journal Issue: C; Journal ID: ISSN 0378-7753

Publisher:: Elsevier

Country of Publication:: Netherlands

Language:: English

Citation Formats


                    Xu, Hongyi, Zhu, Min, Marcicki, James, and Yang, Xiao Guang. Mechanical modeling of battery separator based on microstructure image analysis and stochastic characterization.  Netherlands: N. p., 2017. 
Web.  doi:10.1016/j.jpowsour.2017.02.002.

Copy to clipboard


                    Xu, Hongyi, Zhu, Min, Marcicki, James, & Yang, Xiao Guang. Mechanical modeling of battery separator based on microstructure image analysis and stochastic characterization.  Netherlands.  https://doi.org/10.1016/j.jpowsour.2017.02.002

Copy to clipboard


                    Xu, Hongyi, Zhu, Min, Marcicki, James, and Yang, Xiao Guang. Wed .  
"Mechanical modeling of battery separator based on microstructure image analysis and stochastic characterization".  Netherlands.  https://doi.org/10.1016/j.jpowsour.2017.02.002.

Copy to clipboard


                    
@article{osti_1415677,

  title        = {Mechanical modeling of battery separator based on microstructure image analysis and stochastic characterization},

  author       = {Xu, Hongyi and Zhu, Min and Marcicki, James and Yang, Xiao Guang},

  abstractNote = {},

  doi          = {10.1016/j.jpowsour.2017.02.002},

  journal      = {Journal of Power Sources},

  number       = C,

  volume       = 345,

  place        = {Netherlands},

  year         = {Wed Mar 01 00:00:00 EST 2017},

  month        = {Wed Mar 01 00:00:00 EST 2017}

}

Copy to clipboard

Journal Article:

Free Publicly Available Full Text

Accepted Manuscript (Publisher)

Publisher's Version of Record
https://doi.org/10.1016/j.jpowsour.2017.02.002

Other availability

Search WorldCat to find libraries that may hold this journal

Citation Metrics:

Cited by: 27 works

Citation information provided by
Web of Science

Save / Share:

Export Metadata

Save to My Library

Similar Records in DOE PAGES and OSTI.GOV collections:

Stochastic 3D microstructure reconstruction and mechanical modeling of anisotropic battery separators

Journal Article Xu, Hongyi ; Bae, Chulheung - Journal of Power Sources
https://doi.org/10.1016/j.jpowsour.2019.05.021
Stochastic nonlinear analysis of unidirectional fiber composites using image-based microstructural uncertainty quantification

Journal Article Huang, Tianyu ; Gao, Jiaying ; Sun, Qingping ; ... - Composite Structures

Here, we present a data-driven nonlinear uncertainty quantification and propagation framework to study the microstructure-induced stochastic performance of unidirectional (UD) carbon fiber reinforced polymer (CFRP) composites. The proposed approach integrates (1) microscopic image characterization, (2) stochastic microstructure reconstruction, and (3) efficient multiscale finite element simulations enabled by self-consistent clustering (SCA) analysis. To model the complex microstructural variability, the proposed UQ methods take the non-Gaussian uncertainty sources into account through a distribution-free sampling approach leveraging nonparametric and asymptotic statistical tools. A hierarchical conditional sampling strategy enables the simultaneous sampling of multiple sources of uncertainties. Our approach provides insights into the impactmore »« less
https://doi.org/10.1016/j.compstruct.2020.113470

Full Text Available
Microstructure reconstruction of battery polymer separators by fusing 2D and 3D image data for transport property analysis

Journal Article Xu, Hongyi ; Usseglio-Viretta, Francois ; Kench, Steven ; ... - Journal of Power Sources

A new approach to generate high-fidelity 3D microstructure reconstructions by leveraging resolution and sample volume characteristics from 2D and 3D microscopy methods is presented here. This approach is employed to model the microstructure of a highly orthotropic polypropylene separator used in lithium-ion batteries, which have challenging multi-scale features of fibrils (<100 nm) and lamellae (>100 nm) to resolve in 3D. Phase contrast nano X-ray computed tomographic data are used to reconstruct the lamellae phase, while 2D scanning electron microscopy data are used to characterize sub-100 nm microstructure features such as the thin fibrils that are beyond the effective resolution ofmore »« less
https://doi.org/10.1016/j.jpowsour.2020.229101

Full Text Available
Microstructural characterization and assessment of mechanical properties of concrete based on combined elemental analysis techniques and Fast-Fourier transform-based simulations

Journal Article Li, Yujie ; Le Pape, Yann ; Tajuelo Rodriguez, Elena ; ... - Construction and Building Materials

Tmore »« less
Cited by 7
https://doi.org/10.1016/j.conbuildmat.2020.119500

Full Text Available
Quantification and modeling of mechanical degradation in lithium-ion batteries based on nanoscale imaging

Journal Article Müller, Simon ; Pietsch, Patrick ; Brandt, Ben-Elias ; ... - Nature Communications

Capacity fade in lithium-ion battery electrodes can result from a degradation mechanism in which the carbon black-binder network detaches from the active material. Here we present two approaches to visualize and quantify this detachment and use the experimental results to develop and validate a model that considers how the active particle size, the viscoelastic parameters of the composite electrode, the adhesion between the active particle and the carbon black-binder domain, and the solid electrolyte interphase growth rate impact detachment and capacity fade. Using carbon-silicon composite electrodes as a model system, we demonstrate X-ray nano-tomography and backscatter scanning electron microscopy withmore »« less
https://doi.org/10.1038/s41467-018-04477-1

Full Text Available

Similar Records