Extract and manipulate data from battery cell testers.
This Python Package was developed to help the researchers at IFE, Norway, in their cumbersome task of interpreting and handling data from cycling tests of batteries and cells.
The documentation for cellpy is hosted on Read the docs.
Installation and dependencies
The easiest way to install cellpy is to install with conda or pip.
conda install cellpy --channel conda-forge
Or if you prefer installing using pip:
pip install cellpy
Have a look at the documentation for more detailed installation procedures, especially with respect to “difficult” dependencies when installing with pip.
cellpy is free software made available under the MIT License.
Load test-data and store in hdf5 format.
Filter out the steps of interest.
Process and plot the data.
Changed definition of Coulombic Difference (negative of previous)
Updated loaders with hooks and additional base class TxtLoader with configuration mechanism
Support for Maccor txt files
Supports only python 3.8 and up
Optional parameters through batch and pages
Several bug fixes and minor improvements / adjustments
Restrict use of instrument label to only one option
New argument for get_cap: max_cycle
Reverting from using Documents to user home for location of prm file in windows.
Easyplot by Amund
Arbin sql reader by Muhammad
Reading arbin .res files with auxiliary data should now work.
Many bugs have been removed - many new introduced.
Now on conda-forge (can be installed using conda).
0.4.0 a2 (2020)
Reading PEC files now updated and should work
0.4.0 a1 (2020)
New column names (lowercase and underscore)
New batch concatenating and plotting routines
Switching from git-flow to github-flow
New cli options for running batches
cli option for creating template notebooks
Using ruamel.yaml instead of pyyaml
Using python-box > 4
Starting fixing documentation
TODO: create conda package
TODO: extensive tests
Refactoring - renaming from dfsummary to summary
Refactoring - renaming from step_table to steps
Refactoring - renaming from dfdata to raw
Refactoring - renaming cellpy.cell to cellpy.get
Updated save and load cellpy files allowing for new naming
Implemented cellpy new and cellpy serve cli functionality
Improved make-steps and make-summary functionality
Improved cmd-line interface for setup
More helper functions and tools
Experimental support for other instruments
invoke tasks for developers
Allow for using mdbtools also on win
Slightly faster find_files using cache and fnmatch
Bug fix: error in sorting files when using pathlib fixed
Improved creation of step tables (much faster)
Default compression on cellpy (hdf5) files
Parameters can be set by dot-notation (python-box).
The parameter Instruments.cell_configuration is removed.
Options for getting voltage curves in different formats.
Fixed python 3.6 issues with Read the Docs.
Can now also be used on posix (the user must install mdb_tools first).
Improved logging allowing for custom log-directory.
No legacy python.
First release on PyPI.
Release history Release notifications | RSS feed
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