v0.2.2

v0.2.2 (2023-12-27)

Bug fixes

• Change the name of the bmx_fc metric to umbem, which is the name of the metric in the cited PhD thesis.
• Replace the test_metric to use pytest.mark.parametrize and have a test for each value insted of the dataframe all togheter.

v0.2.1

v0.2.0 (2023-12-26)

Bug fixes

• Allow the modification of C-rate with minutes parameter in bmx_fc of metric module.
• Citation of theoretical framework in CITATION.bib file.

v0.2.0

v0.2.0 (2023-12-12)

Features

• An implementation of a new module with two metrics for benchmarking an extreme fast-charging of battery electrode materials.

Bug fixes

• Fixed test errors in make_prediction module due to uncertaintes calculations.

v0.1.1

v0.1.1 (2023-09-25)

Bug fixes

• Fix citation link, BibTeX and doi.
• py38 plot tests -> py39+

v0.1.0

v0.1.0 (2023-07-27)

This is the first Python object-oriented version of galpynostatic.

Features

• A galvanostatic regressor to fit maximum State-of-Charge (SOC) values versus C-rates experimental data with the physics-based heuristic model implemented here.
• Visualization in different formats through a plotter.
• Make predictions of the optimal particle size for the fifteen-minute charging electrode material.
• A preprocessing tool to obtain discharge capacities from galvanostatic profiles, useful to define the maximum SOC values.
• Surface datasets of the continuous computational physics previous model for different single-particle geometries.

Software quality assurance

• Runs on Ubuntu with Python 3.8+.
• Documentation available in readthedocs with installation guide, tutorials and API reference.
• Multiple unit tests.
• 100% coverage.
• PEP8 code style assured with flake8 and extensions.
• CI/CD on GitHub Actions.
• MIT LICENSE, encouraging its use in both academic and commercial settings.
• PyPI package distribution.