BEEP: A Python library for Battery Evaluation and Early Prediction

BEEP: A Python library for Battery Evaluation and Early Prediction

Battery evaluation and early prediction software package (BEEP) provides an open-source Python-based framework for the management and processing of high-throughput battery cycling data-streams. BEEPs features include file-system based organization of raw cycling data and metadata received from cell...

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Bibliographic Details
Main Authors: Patrick Herring, Chirranjeevi Balaji Gopal, Muratahan Aykol, Joseph H. Montoya, Abraham Anapolsky, Peter M. Attia, William Gent, Jens S. Hummelshøj, Linda Hung, Ha-Kyung Kwon, Patrick Moore, Daniel Schweigert, Kristen A. Severson, Santosh Suram, Zi Yang, Richard D. Braatz, Brian D. Storey
Format: Article
Language:English
Published: Elsevier 2020-01-01
Series:SoftwareX
Subjects:
Battery
Cycling experiments
Python
Data management
Machine-learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2352711020300492

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