Abstract
Battery Lifetime Analysis and Simulation Toolsuite (BLAST) provides a library of battery lifetime and degradation models for various commercial lithium-ion batteries from recent years. Degradation models are identified from publicly available lab-based aging data using NREL's battery life model identification toolkit. The battery life models predicted the expected lifetime of batteries used in mobile or stationary applications as functions of their temperature and use (state-of-charge, depth-of-discharge, and charge/discharge rates). Model implementation is in both Python and MATLAB programming languages. The MATLAB code also provides example applications (stationary storage and EV), climate data, and simple thermal management options. For more information on battery health diagnostics, prediction, and optimization, see NREL's Battery Lifespan webpage.
- Developers:
-
Smith, Kandler [1] ; Gasper, Paul [1]
- National Renewable Energy Lab. (NREL), Golden, CO (United States)
- Release Date:
- 2023-05-03
- Project Type:
- Open Source, Publicly Available Repository
- Software Type:
- Scientific
- Programming Languages:
-
MATLAB
Python
Jupyter Notebook
- Licenses:
-
BSD 3-clause "New" or "Revised" License
- Sponsoring Org.:
-
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Transportation Office. Vehicle Technologies OfficePrimary Award/Contract Number:AC36-08GO28308
- Code ID:
- 110387
- Site Accession Number:
- SWR-22-69
- Research Org.:
- National Renewable Energy Laboratory (NREL), Golden, CO (United States)
- Country of Origin:
- United States
Citation Formats
Smith, Kandler, and Gasper, Paul.
BLAST-Lite (Battery Lifetime Analysis and Simulation Tool - Lite) [SWR-22-69] Related to: BLAST aka: BLAST-Py.
Computer Software.
https://github.com/NREL/BLAST-Lite.
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Transportation Office. Vehicle Technologies Office.
03 May. 2023.
Web.
doi:10.11578/dc.20230724.1.
Smith, Kandler, & Gasper, Paul.
(2023, May 03).
BLAST-Lite (Battery Lifetime Analysis and Simulation Tool - Lite) [SWR-22-69] Related to: BLAST aka: BLAST-Py.
[Computer software].
https://github.com/NREL/BLAST-Lite.
https://doi.org/10.11578/dc.20230724.1.
Smith, Kandler, and Gasper, Paul.
"BLAST-Lite (Battery Lifetime Analysis and Simulation Tool - Lite) [SWR-22-69] Related to: BLAST aka: BLAST-Py." Computer software.
May 03, 2023.
https://github.com/NREL/BLAST-Lite.
https://doi.org/10.11578/dc.20230724.1.
@misc{
doecode_110387,
title = {BLAST-Lite (Battery Lifetime Analysis and Simulation Tool - Lite) [SWR-22-69] Related to: BLAST aka: BLAST-Py},
author = {Smith, Kandler and Gasper, Paul},
abstractNote = {Battery Lifetime Analysis and Simulation Toolsuite (BLAST) provides a library of battery lifetime and degradation models for various commercial lithium-ion batteries from recent years. Degradation models are identified from publicly available lab-based aging data using NREL's battery life model identification toolkit. The battery life models predicted the expected lifetime of batteries used in mobile or stationary applications as functions of their temperature and use (state-of-charge, depth-of-discharge, and charge/discharge rates). Model implementation is in both Python and MATLAB programming languages. The MATLAB code also provides example applications (stationary storage and EV), climate data, and simple thermal management options. For more information on battery health diagnostics, prediction, and optimization, see NREL's Battery Lifespan webpage.},
doi = {10.11578/dc.20230724.1},
url = {https://doi.org/10.11578/dc.20230724.1},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20230724.1}},
year = {2023},
month = {may}
}