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Extract and manipulate data from battery cell testers.

Project description

cellpy

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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.

Features

  • Load test-data and store in hdf5 format.
  • Filter out the steps of interest.
  • Process and plot the data.
  • And more…

Credits

This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.

History

0.3.2 (2019)

  • Starting fixing documentation
  • TODO: create conda package
  • TODO: extensive tests

0.3.1 (2019)

  • 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

0.3.0 (2019)

  • New batch-feature
  • 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

0.2.1 (2018)

  • 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

0.2.0 (2018-10-17)

  • Improved creation of step tables (much faster)
  • Default compression on cellpy (hdf5) files
  • Bug fixes

0.1.22 (2018-07-17)

  • 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.

0.1.21 (2018-06-09)

  • No legacy python.

0.1.0 (2016-09-26)

  • First release on PyPI.

Project details


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