Determining Electrode Tortuosity and Rate Limitations from Experiments and Modeling

Kandler Smith; Francois Usseglio Viretta; Andrew Colclasure; Shriram Santhanagopalan; Chuanbo Yang; Ahmad Pesaran; Matthew Keyser; Qibo Li

Determining Electrode Tortuosity and Rate Limitations from Experiments and Modeling

Kandler Smith, Francois Usseglio Viretta, Andrew Colclasure, Shriram Santhanagopalan, Chuanbo Yang, Ahmad Pesaran, Matthew Keyser, Qibo Li

Center for Integrated Mobility Sciences

Research output: Contribution to conference › Paper › peer-review

Abstract

• CAE models efficiently address 3D large battery performance and safety design. Further work is needed to: • Increase electrochemical model fidelity. Reduce expense of parameter ID • Integrate degradation mechanisms, enabling optimization of designs for lifetime • Microstructure models provide deeper insight into: • Predict effective properties of macro-homogeneous models • Heterogeneous utilization of electrode → degradation • Enabling 10-minute fast charge of BEV200+ requires: • Electrolytes with enhanced transport • Low electrode tortuosity.

Original language	American English
Pages	136-149
Number of pages	14
State	Published - 2018
Event	Battery Engineering for Automotive Applications 2018 - San Diego, United States Duration: 4 Jun 2018 → 7 Jun 2018

Conference

Conference	Battery Engineering for Automotive Applications 2018
Country/Territory	United States
City	San Diego
Period	4/06/18 → 7/06/18

Bibliographical note

Publisher Copyright:
© (2018) by Cambridge EnerTech. All rights reserved.

NREL Publication Number

NREL/CP-5400-72837

Keywords

automobiles
computer aided engineering
degradation
electrodes

Cite this

@conference{1e01fc9833b947bd956e52ecd8681a2d,

title = "Determining Electrode Tortuosity and Rate Limitations from Experiments and Modeling",

abstract = "• CAE models efficiently address 3D large battery performance and safety design. Further work is needed to: • Increase electrochemical model fidelity. Reduce expense of parameter ID • Integrate degradation mechanisms, enabling optimization of designs for lifetime • Microstructure models provide deeper insight into: • Predict effective properties of macro-homogeneous models • Heterogeneous utilization of electrode → degradation • Enabling 10-minute fast charge of BEV200+ requires: • Electrolytes with enhanced transport • Low electrode tortuosity.",

keywords = "automobiles, computer aided engineering, degradation, electrodes",

author = "Kandler Smith and \{Usseglio Viretta\}, Francois and Andrew Colclasure and Shriram Santhanagopalan and Chuanbo Yang and Ahmad Pesaran and Matthew Keyser and Qibo Li",

note = "Publisher Copyright: {\textcopyright} (2018) by Cambridge EnerTech. All rights reserved.; Battery Engineering for Automotive Applications 2018 ; Conference date: 04-06-2018 Through 07-06-2018",

year = "2018",

language = "American English",

pages = "136--149",

}

TY - CONF

T1 - Determining Electrode Tortuosity and Rate Limitations from Experiments and Modeling

AU - Smith, Kandler

AU - Usseglio Viretta, Francois

AU - Colclasure, Andrew

AU - Santhanagopalan, Shriram

AU - Yang, Chuanbo

AU - Pesaran, Ahmad

AU - Keyser, Matthew

AU - Li, Qibo

PY - 2018

Y1 - 2018

N2 - • CAE models efficiently address 3D large battery performance and safety design. Further work is needed to: • Increase electrochemical model fidelity. Reduce expense of parameter ID • Integrate degradation mechanisms, enabling optimization of designs for lifetime • Microstructure models provide deeper insight into: • Predict effective properties of macro-homogeneous models • Heterogeneous utilization of electrode → degradation • Enabling 10-minute fast charge of BEV200+ requires: • Electrolytes with enhanced transport • Low electrode tortuosity.

AB - • CAE models efficiently address 3D large battery performance and safety design. Further work is needed to: • Increase electrochemical model fidelity. Reduce expense of parameter ID • Integrate degradation mechanisms, enabling optimization of designs for lifetime • Microstructure models provide deeper insight into: • Predict effective properties of macro-homogeneous models • Heterogeneous utilization of electrode → degradation • Enabling 10-minute fast charge of BEV200+ requires: • Electrolytes with enhanced transport • Low electrode tortuosity.

KW - automobiles

KW - computer aided engineering

KW - degradation

KW - electrodes

UR - https://www.scopus.com/pages/publications/85055046005

M3 - Paper

AN - SCOPUS:85055046005

SP - 136

EP - 149

T2 - Battery Engineering for Automotive Applications 2018

Y2 - 4 June 2018 through 7 June 2018

ER -

Determining Electrode Tortuosity and Rate Limitations from Experiments and Modeling

Abstract

Conference

Bibliographical note

NREL Publication Number

Keywords

Other files and links

Fingerprint

Cite this