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A battery dataset for electric vertical takeoff and landing aircraft

Electric vertical takeoff and landing aircraft have a unique duty cycle characterized by high discharge currents at the beginning and end of the mission (corresponding to takeoff and landing of the aircraft) and a moderate power requirement between them with no rest periods during the mission. Here,...

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Autores principales: Bills, Alexander, Sripad, Shashank, Fredericks, Leif, Guttenberg, Matthew, Charles, Devin, Frank, Evan, Viswanathan, Venkatasubramanian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10238407/
https://www.ncbi.nlm.nih.gov/pubmed/37268626
http://dx.doi.org/10.1038/s41597-023-02180-5
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author Bills, Alexander
Sripad, Shashank
Fredericks, Leif
Guttenberg, Matthew
Charles, Devin
Frank, Evan
Viswanathan, Venkatasubramanian
author_facet Bills, Alexander
Sripad, Shashank
Fredericks, Leif
Guttenberg, Matthew
Charles, Devin
Frank, Evan
Viswanathan, Venkatasubramanian
author_sort Bills, Alexander
collection PubMed
description Electric vertical takeoff and landing aircraft have a unique duty cycle characterized by high discharge currents at the beginning and end of the mission (corresponding to takeoff and landing of the aircraft) and a moderate power requirement between them with no rest periods during the mission. Here, we generated a dataset of battery duty profiles for an electric vertical takeoff and landing aircraft using a cell typical for that application. The dataset features 22 cells, comprising a total of 21,392 charge and discharge cycles. 3 of the cells use the baseline cycle while each of the other cells vary either charge current, discharge power, discharge duration, ambient cooling conditions, or end of charge voltage. While it was designed to mimic the expected duty cycle of an electric aircraft, this dataset is relevant for training machine learning models on battery life, fitting physical or empirical models for battery performance and/or degradation, and countless other applications.
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spelling pubmed-102384072023-06-04 A battery dataset for electric vertical takeoff and landing aircraft Bills, Alexander Sripad, Shashank Fredericks, Leif Guttenberg, Matthew Charles, Devin Frank, Evan Viswanathan, Venkatasubramanian Sci Data Data Descriptor Electric vertical takeoff and landing aircraft have a unique duty cycle characterized by high discharge currents at the beginning and end of the mission (corresponding to takeoff and landing of the aircraft) and a moderate power requirement between them with no rest periods during the mission. Here, we generated a dataset of battery duty profiles for an electric vertical takeoff and landing aircraft using a cell typical for that application. The dataset features 22 cells, comprising a total of 21,392 charge and discharge cycles. 3 of the cells use the baseline cycle while each of the other cells vary either charge current, discharge power, discharge duration, ambient cooling conditions, or end of charge voltage. While it was designed to mimic the expected duty cycle of an electric aircraft, this dataset is relevant for training machine learning models on battery life, fitting physical or empirical models for battery performance and/or degradation, and countless other applications. Nature Publishing Group UK 2023-06-02 /pmc/articles/PMC10238407/ /pubmed/37268626 http://dx.doi.org/10.1038/s41597-023-02180-5 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Data Descriptor
Bills, Alexander
Sripad, Shashank
Fredericks, Leif
Guttenberg, Matthew
Charles, Devin
Frank, Evan
Viswanathan, Venkatasubramanian
A battery dataset for electric vertical takeoff and landing aircraft
title A battery dataset for electric vertical takeoff and landing aircraft
title_full A battery dataset for electric vertical takeoff and landing aircraft
title_fullStr A battery dataset for electric vertical takeoff and landing aircraft
title_full_unstemmed A battery dataset for electric vertical takeoff and landing aircraft
title_short A battery dataset for electric vertical takeoff and landing aircraft
title_sort battery dataset for electric vertical takeoff and landing aircraft
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10238407/
https://www.ncbi.nlm.nih.gov/pubmed/37268626
http://dx.doi.org/10.1038/s41597-023-02180-5
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