Battery State-of-Charge Estimation using RNNs

Code to train various models for state-of-charge estimation.

Data

This code is trained on the open source Panasonic 18650PF Li-ion Battery Data.

This code has the following dependencies:

Create a data/ folder and extract the dataset mentioned in the Data section into it.

python mlp.py --window_size 10 --hidden_size 4 --noise_std 0.005


Train an LSTM on the SOC Data

python recurrent.py --model lstm --sequence_length 100 --hidden_size 4 --num_layers 4 --noise_std 0.005

Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
README.md		README.md
dataset.py		dataset.py
evaluate.py		evaluate.py
evaluate_seeds.py		evaluate_seeds.py
mlp.py		mlp.py
models.py		models.py
recurrent.py		recurrent.py