BEEP: A Python library for Battery Evaluation and Early Prediction | Zendy

Patrick Herring | Zendy; Chirranjeevi Balaji Gopal | Zendy; Muratahan Aykol | Zendy; Joseph H. Montoya | Zendy; Abraham Anapolsky | Zendy; Peter M. Attia | Zendy; William E. Gent | Zendy; Jens S. Hummelshøj | Zendy; Linda Hung | Zendy; Ha-Kyung Kwon | Zendy; Patrick Moore | Zendy; Daniel Schweigert | Zendy; Kristen Severson | Zendy; Santosh K. Suram | Zendy; Zi Yang | Zendy; Richard D. Braatz | Zendy; Brian D. Storey | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

BEEP: A Python library for Battery Evaluation and Early Prediction

Author(s) -

Patrick Herring,

Chirranjeevi Balaji Gopal,

Muratahan Aykol,

Joseph H. Montoya,

Abraham Anapolsky,

Peter M. Attia,

William E. Gent,

Jens S. Hummelshøj,

Linda Hung,

Ha-Kyung Kwon,

Patrick Moore,

Daniel Schweigert,

Kristen Severson,

Santosh K. Suram,

Zi Yang,

Richard D. Braatz,

Brian D. Storey

Publication year - 2020

Publication title -

softwarex

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.528

H-Index - 21

ISSN - 2352-7110

DOI - 10.1016/j.softx.2020.100506

Subject(s) - python (programming language) , computer science , metadata , software , parsing , analytics , operating system , database , embedded system , artificial intelligence

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 testing equipment, validation protocols that ensure the integrity of such data, parsing and structuring of data into Python-objects ready for analytics, featurization of structured cycling data to serve as input for machine-learning, and end-to-end examples that use processed data for anomaly detection and featurized data to train early-prediction models for cycle life. BEEP is developed in response to the software and expertise gap between cell-level battery testing and data-driven battery development.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research