galpynostatic
A Python/C++ package with physics-based models to predict optimal conditions for fast-charging lithium-ion batteries.
https://github.com/fernandezfran/galpynostatic
Category: Energy Storage
Sub Category: Battery
Keywords
battery data-driven fast-charging heuristic-algorithm metrics physics-based predictions regression-models
Last synced: about 18 hours ago
JSON representation
Repository metadata
:zap::battery: A Python/C++ package with physics-based and data-driven models to predict optimal conditions for fast-charging lithium-ion batteries
- Host: GitHub
- URL: https://github.com/fernandezfran/galpynostatic
- Owner: fernandezfran
- License: mit
- Created: 2022-12-06T11:37:08.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2025-02-17T18:23:18.000Z (2 months ago)
- Last Synced: 2025-03-17T16:06:15.772Z (about 1 month ago)
- Topics: battery, data-driven, fast-charging, heuristic-algorithm, metrics, physics-based, predictions, regression-models
- Language: Python
- Homepage: https://galpynostatic.readthedocs.io/
- Size: 5.17 MB
- Stars: 10
- Watchers: 1
- Forks: 2
- Open Issues: 0
- Releases: 27
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- License: LICENSE
- Citation: CITATIONS.bib
README.md
galpynostatic
galpynostatic is a Python/C++ package with physics-based and data-driven
models to predict optimal conditions for fast-charging lithium-ion batteries.
Contact
If you have any questions, you can contact me at [email protected]
Requirements
You need Python 3.12+ to run galpynostatic. All other dependencies, which are the
usual ones of the scientific computing stack
(matplotlib, NumPy,
pandas, scikit-learn
and SciPy), are installed automatically.
Installation
You can install the latest stable release of galpynostatic with
pip
python -m pip install --upgrade pip
python -m pip install --upgrade galpynostatic
Usage
To learn how to use galpynostatic you can start by following the
tutorials
and then read the
API.
License
galpynostatic is licensed under the
MIT License.
Citations
If you use galpynostatic in a scientific publication, we would appreciate it if
you could cite the main article of the package:
F. Fernandez, E. M. Gavilán-Arriazu, D. E. Barraco, A. Visintin, Y. Ein-Eli and
E. P. M. Leiva. "Towards a fast-charging of LIBs electrode materials: a
heuristic model based on galvanostatic simulations." Electrochimica Acta 464
(2023): 142951. DOI: https://doi.org/10.1016/j.electacta.2023.142951
For certain modules of the code, please refer to other works:
galpynostatic.metric: TODO DOIgalpynostatic.datasets: https://doi.org/10.1002/cphc.202200665
BibTeX entries can be found in the
CITATIONS.bib
file.
Citation (CITATIONS.bib)
% main galpynostatic citation
@article{fernandez2023towards,
title={Towards a fast-charging of LIBs electrode materials: a heuristic model based on galvanostatic simulations},
author={Fernandez, F and Gavil{\'a}n-Arriazu, EM and Barraco, DE and Visintin, A and Ein-Eli, Y and Leiva, EPM},
journal={Electrochimica Acta},
volume={464},
pages={142951},
year={2023},
publisher={Elsevier}
}
% theoretical framework and universal map data (galpynostatic.datasets)
@article{gavilan2023galvanostatic,
title={Galvanostatic Fast Charging of Alkali-Ion Battery Materials at the Single-Particle Level: A Map-Driven Diagnosis},
author={Gavil{\'a}n-Arriazu, E Maximiliano and Barraco, Daniel E and Ein-Eli, Yair and Leiva, Ezequiel PM},
journal={ChemPhysChem},
volume={24},
number={6},
pages={e202200665},
year={2023},
publisher={Wiley Online Library}
}
Owner metadata
- Name: Francisco Fernandez
- Login: fernandezfran
- Email:
- Kind: user
- Description: Computational Physicist
- Website:
- Location: Córdoba, Argentina
- Twitter:
- Company: FAMAF, UNC
- Icon url: https://avatars.githubusercontent.com/u/51408572?u=62a9be75b98ed24aebe163a8c9749b356a7bf162&v=4
- Repositories: 3
- Last ynced at: 2023-05-20T23:20:22.140Z
- Profile URL: https://github.com/fernandezfran
GitHub Events
Total
- Release event: 7
- Watch event: 2
- Push event: 8
- Create event: 7
Last Year
- Release event: 7
- Watch event: 2
- Push event: 8
- Create event: 7
Committers metadata
Last synced: 7 days ago
Total Commits: 398
Total Committers: 4
Avg Commits per committer: 99.5
Development Distribution Score (DDS): 0.161
Commits in past year: 48
Committers in past year: 2
Avg Commits per committer in past year: 24.0
Development Distribution Score (DDS) in past year: 0.188
| Name | Commits | |
|---|---|---|
| fernandezfran | f****5@g****m | 334 |
| aruderman | c****2@g****m | 59 |
| Maximiliano Gavilán | 9****n | 3 |
| maxigavilan | m****n@h****m | 2 |
Committer domains:
Issue and Pull Request metadata
Last synced: 2 days ago
Total issues: 0
Total pull requests: 0
Average time to close issues: N/A
Average time to close pull requests: N/A
Total issue authors: 0
Total pull request authors: 0
Average comments per issue: 0
Average comments per pull request: 0
Merged pull request: 0
Bot issues: 0
Bot pull requests: 0
Past year issues: 0
Past year pull requests: 0
Past year average time to close issues: N/A
Past year average time to close pull requests: N/A
Past year issue authors: 0
Past year pull request authors: 0
Past year average comments per issue: 0
Past year average comments per pull request: 0
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 0
Top Issue Authors
Top Pull Request Authors
Top Issue Labels
Top Pull Request Labels
Package metadata
- Total packages: 1
-
Total downloads:
- pypi: 845 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 27
- Total maintainers: 1
pypi.org: galpynostatic
A Python/C++ package with physics-based and data-driven models to predict optimal conditions for fast-charging lithium-ion batteries.
- Homepage:
- Documentation: https://galpynostatic.readthedocs.io/
- Licenses: MIT License Copyright (c) 2022-2023 Francisco Fernandez Copyright (c) 2024 Francisco Fernandez, Maximiliano Gavilán, Andrés Ruderman Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
- Latest release: 0.5.13 (published 2 months ago)
- Last Synced: 2025-04-26T14:40:24.674Z (2 days ago)
- Versions: 27
- Dependent Packages: 0
- Dependent Repositories: 0
- Downloads: 845 Last month
-
Rankings:
- Dependent packages count: 7.481%
- Downloads: 15.289%
- Stargazers count: 28.082%
- Average: 30.154%
- Forks count: 30.19%
- Dependent repos count: 69.73%
- Maintainers (1)
Dependencies
- actions/checkout v2 composite
- actions/setup-python v2 composite
- actions/checkout master composite
- actions/setup-python v2 composite
- Sphinx *
- ipykernel *
- ipython >=8.8.0
- nbsphinx *
- sphinx-rtd-theme *
- importlib_metadata *
- matplotlib *
- numpy *
- pandas *
- scikit-learn *
- scipy *
- check-manifest * development
- coverage * development
- flake8 * development
- flake8-black * development
- flake8-builtins * development
- flake8-import-order * development
- ipdb * development
- pydocstyle * development
- pytest * development
- pytest-cov * development
- toml * development
- tomli * development
- tox * development
Score: 10.429398813720159