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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,...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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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. |
format | Online Article Text |
id | pubmed-10238407 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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