ml_lib: Machine Learning ECS Hackweek Dallas Project for
Lithium-Ion Battery Capacity Predictions
https://energy.stanford.edu/sites/g/files/sbiybj9971/f/346501527888d799d94279cfe74049fde53ca2d5a1275d083d28f925253cf657.pdf
Objectives of the project are as follows:
To find out how many cycles of data are needed to predict the end of battery cycle life
The following are the list of things that we are supposed to do:
- Converting the .mat files to .csv files
- Visualization of the converted data to check for consistencies
- Create Functions/Feature definitions(Including the cycle number as variable)
- Do multivariate linear regression on the processed data
Enclosed in this GitHub Repo is an environment.yml file with the dependencies required for this package. To install, open up a terminal, change directories to the repo, and then enter
conda env create -f environment.yml
Then you can enter
source activate cycle-life
The list of features are taken from *insert citation here for Severson et al., Nature (2019)
