This package can be used to take battery cycling data, clean and smooth the data, find and fit peaks to obtain peak locations, widths, and amplitudes, and finally use those descriptors to classify a battery as either a LiCoO2 or a LiFePO4 chemistry. Additionally, there is a DASH based visualization app that can be used to scroll through cycles and better understand the inputted data. This package could be expanded upon to include other battery chemistries, and to be able to handle different formats of data. For a more specific overview of the project, please see the Chachies_FinalProject_Poster.pdf under docs.

pip install chachies  

• Python3
• For python packages see requirements.txt

app/
    data/
    README.md
    app.py 
chachies/ 
    data/
    tests/
        data/
        README.md
        __init___.py
        test_chachifuncs.py
        test_descriptors.py
    __init__.py
    chachies.py 
    chachifuncs.py
    descriptors.py 
    svc_model.sav
docs/ 
    design/
    ppt/
    README.md
examples/
    Images/ 
    README.md
LICENSE
README.md
requirements.txt
setup.py

For more see app/

Make sure to install the following dash libraries

pip install dash==0.21.0  # The core dash backend
pip install dash-renderer==0.11.3  # The dash front-end
pip install dash-html-components==0.9.0  # HTML components
pip install dash-core-components==0.18.1  # Supercharged components
pip install plotly --upgrade  # Latest Plotly graphing library

To run the app run the following in terminal:

python app.py

Which should return

 * Running on http:https://someurl/ (Press CTRL+C to quit)

Type that URL in browser to launch

*Images taken from Google Images at https://www.redbubble.com/people/ilovepaws/works/28793999-funny-dabbing-chinchilla and http:https://weclipart.com/cartoon+battery+clipart/d/1708675