LiFe-net: Data-driven Modelling of Time-dependent Temperatures and Charging Statistics Of Tesla’s LiFePo4 EV Battery

Requirements

Libaries

cuda 11.1
python/3.7.4

Python requirements

torch>=1.8.1
numpy>=1.19.5
matplotlib>=3.1.1

How to run

python LiFe-net_baseline.py

python LiFe-net_regularised.py

python LiFe-net_t_stability.py

How to load pre-trained model

Load models from 'models' folder as such:

model.load_state_dict(torch.load(PATH))

Plots included in the paper

See evaluation_plots.ipynb Jupyter Notebook

How to do hyperparameter optimization

See documentations of Weights and Biases library: https://docs.wandb.ai/guides/sweeps

Example:

python -m wandb sweep sweep-alpha.yaml

python -m wandb agent 'name/of/the/agent'