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Title: Microstructure Characterization and Modeling for Improved Electrode Design

Abstract

As part of DOE's Computer-Aided Engineering of Batteries Program, the National Renewable Energy Laboratory is developing detailed models capturing the influence of lithium-ion battery electrode design, recipe and processing on the electrode's microstructure and relating that microstructure to device-level performance. Given the difficulty in obtaining 3D microstructural images of the electrode's inert components, team member Purdue University developed an algorithm to computationally generate the so-called carbon-binder domain (CBD) for any given recipe. Mesoscale models explore the device-level impact of the CBD phase on multiple idealized and actual electrode geometries. With the inclusion of this CBD phase, microstructure models are used to predict the tortuosity of 14 different graphite and NMC electrode designs. Tortuosity predictions are shown in good agreement with experimental direct measurement and electrochemical rate studies.

Authors:
ORCiD logo [1]
  1. National Renewable Energy Laboratory (NREL), Golden, CO (United States)
Publication Date:
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)
OSTI Identifier:
1468331
Report Number(s):
NREL/PR-5400-71253
DOE Contract Number:  
AC36-08GO28308
Resource Type:
Conference
Resource Relation:
Conference: Presented at the U.S. Department of Energy's Vehicle Technologies Office 2018 Annual Merit Review and Peer Evaluation Meeting, 18-21 June 2018, Washington, D.C.
Country of Publication:
United States
Language:
English
Subject:
25 ENERGY STORAGE; 30 DIRECT ENERGY CONVERSION; lithium-ion battery; electrode microstructure; electrochemical model; microstructure model; mesoscale model; tortuosity; morphology; carbon-binder domain; computer-aided engineering

Citation Formats

Smith, Kandler A. Microstructure Characterization and Modeling for Improved Electrode Design. United States: N. p., 2018. Web.
Smith, Kandler A. Microstructure Characterization and Modeling for Improved Electrode Design. United States.
Smith, Kandler A. Mon . "Microstructure Characterization and Modeling for Improved Electrode Design". United States. https://www.osti.gov/servlets/purl/1468331.
@article{osti_1468331,
title = {Microstructure Characterization and Modeling for Improved Electrode Design},
author = {Smith, Kandler A},
abstractNote = {As part of DOE's Computer-Aided Engineering of Batteries Program, the National Renewable Energy Laboratory is developing detailed models capturing the influence of lithium-ion battery electrode design, recipe and processing on the electrode's microstructure and relating that microstructure to device-level performance. Given the difficulty in obtaining 3D microstructural images of the electrode's inert components, team member Purdue University developed an algorithm to computationally generate the so-called carbon-binder domain (CBD) for any given recipe. Mesoscale models explore the device-level impact of the CBD phase on multiple idealized and actual electrode geometries. With the inclusion of this CBD phase, microstructure models are used to predict the tortuosity of 14 different graphite and NMC electrode designs. Tortuosity predictions are shown in good agreement with experimental direct measurement and electrochemical rate studies.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {8}
}

Conference:
Other availability
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