Shell Predictive Battery Life Models (SPBLM) [SWR-20-35]
- National Renewable Energy Lab. (NREL), Golden, CO (United States)
Battery life models to predict the capacity fade and resistance growth of lithium-ion batteries from various manufacturers with different chemistries. The battery life model is trained on experimental test data, and accounts for calendar and cycling aging mechanisms as functions of cell environmental conditions and use. The battery life model is then used to predict capacity fade and resistance growth under any arbitrary aging scenario.
- Short Name / Acronym:
- SPBLM
- Project Type:
- Closed Source
- Site Accession Number:
- NREL SWR-20-35
- Software Type:
- Scientific
- Programming Language(s):
- MATLAB
- Research Organization:
- National Renewable Energy Laboratory (NREL), Golden, CO (United States)
- Sponsoring Organization:
- Shell International Exploration & ProductionPrimary Award/Contract Number:AC36-08GO28308
- DOE Contract Number:
- AC36-08GO28308
- Code ID:
- 37518
- OSTI ID:
- code-37518
- Country of Origin:
- United States
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