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 |
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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 |
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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