Mechanistic Modeling Framework for Predicting Extreme Battery Response
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
The objectives of this project are to address the root cause implications of thermal runaway of Li-ion batteries by delivering a software architecture solution that can lead to the development of predictive mechanisms that are based on identification of species.
- Research Organization:
- Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Organization:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Vehicle Technologies Program (EE-2G)
- DOE Contract Number:
- AC04-94AL85000
- OSTI ID:
- 1172914
- Report Number(s):
- SAND2014--19884R; 542992
- Country of Publication:
- United States
- Language:
- English
Similar Records
Mechanistic Modeling Framework for Predicting Extreme Battery Response
Counter Data Paucity through Adversarial Invariance Encoding: A Case Study on Modeling Battery Thermal Runaway
Microstructural Analysis of the Effects of Thermal Runaway on Li-Ion and Na-Ion Battery Electrodes
Technical Report
·
Tue Feb 28 23:00:00 EST 2017
·
OSTI ID:1365459
Counter Data Paucity through Adversarial Invariance Encoding: A Case Study on Modeling Battery Thermal Runaway
Conference
·
Sat Nov 30 23:00:00 EST 2024
·
OSTI ID:2573661
Microstructural Analysis of the Effects of Thermal Runaway on Li-Ion and Na-Ion Battery Electrodes
Journal Article
·
Tue Dec 05 23:00:00 EST 2017
· Journal of Electrochemical Energy Conversion and Storage
·
OSTI ID:1416719