Battery Evaluation and Early Prediction (BEEP)

BEEP is a set of tools designed to support Battery Evaluation and Early Prediction of cycle life corresponding to the research of the d3batt program and the Toyota Research Institute.

• Documentation: https://tri-amdd.github.io/beep
• Source code: https://github.com/TRI-AMDD/beep
• PyPI release: https://pypi.org/project/beep/

Installation

pip install beep

For development:

git clone https://github.com/TRI-AMDD/beep.git
cd beep
pip install -e ".[dev]"

Supported Cyclers

• Arbin Instruments
• Novonix Group
• MACCOR
• BioLogic
• Neware
• Battery Archive data

Quick Start

from beep.structure.maccor import MaccorDatapath

# Load and structure a cycler file
datapath = MaccorDatapath.from_file("path/to/file.txt")
datapath.structure()

# Access structured data
print(datapath.structured_summary)

How to cite

If you use BEEP, please cite this article:

P. Herring, C. Balaji Gopal, M. Aykol, J.H. Montoya, A. Anapolsky, P.M. Attia, W. Gent, J.S. Hummelshøj, L. Hung, H.-K. Kwon, P. Moore, D. Schweigert, K.A. Severson, S. Suram, Z. Yang, R.D. Braatz, B.D. Storey, SoftwareX 11 (2020) 100506. https://doi.org/10.1016/j.softx.2020.100506