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Experimental data of lithium-ion battery and ultracapacitor under DST and UDDS profiles at room temperature
This article provides the dataset of both the LiFePO(4) type lithium-ion battery (LIB) behavior and the Maxwell ultracapacitor behavior. The dynamic stress test (DST) condition and the urban dynamometer driving schedule (UDDS) condition were carried out to analyze the battery/ultracapacitor features...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5396853/ https://www.ncbi.nlm.nih.gov/pubmed/28459088 http://dx.doi.org/10.1016/j.dib.2017.01.019 |
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author | Wang, Yujie Liu, Chang Pan, Rui Chen, Zonghai |
author_facet | Wang, Yujie Liu, Chang Pan, Rui Chen, Zonghai |
author_sort | Wang, Yujie |
collection | PubMed |
description | This article provides the dataset of both the LiFePO(4) type lithium-ion battery (LIB) behavior and the Maxwell ultracapacitor behavior. The dynamic stress test (DST) condition and the urban dynamometer driving schedule (UDDS) condition were carried out to analyze the battery/ultracapacitor features. The datasets were achieved at room temperature, in August, 2016. The shared data contributes to clarify the behavior of the LIBs and ultracapacitors and can be used to predict the state-of-charge (SOC) of the LIBs and ultracapacitors, which is also shown in the article of “Modeling and state-of-charge prediction of lithium-ion battery and ultracapacitor hybrids with a co-estimator” (United States Advanced Battery Consortium, 1996) [1]. |
format | Online Article Text |
id | pubmed-5396853 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-53968532017-04-28 Experimental data of lithium-ion battery and ultracapacitor under DST and UDDS profiles at room temperature Wang, Yujie Liu, Chang Pan, Rui Chen, Zonghai Data Brief Data Article This article provides the dataset of both the LiFePO(4) type lithium-ion battery (LIB) behavior and the Maxwell ultracapacitor behavior. The dynamic stress test (DST) condition and the urban dynamometer driving schedule (UDDS) condition were carried out to analyze the battery/ultracapacitor features. The datasets were achieved at room temperature, in August, 2016. The shared data contributes to clarify the behavior of the LIBs and ultracapacitors and can be used to predict the state-of-charge (SOC) of the LIBs and ultracapacitors, which is also shown in the article of “Modeling and state-of-charge prediction of lithium-ion battery and ultracapacitor hybrids with a co-estimator” (United States Advanced Battery Consortium, 1996) [1]. Elsevier 2017-02-06 /pmc/articles/PMC5396853/ /pubmed/28459088 http://dx.doi.org/10.1016/j.dib.2017.01.019 Text en © 2017 Published by Elsevier Inc. http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Data Article Wang, Yujie Liu, Chang Pan, Rui Chen, Zonghai Experimental data of lithium-ion battery and ultracapacitor under DST and UDDS profiles at room temperature |
title | Experimental data of lithium-ion battery and ultracapacitor under DST and UDDS profiles at room temperature |
title_full | Experimental data of lithium-ion battery and ultracapacitor under DST and UDDS profiles at room temperature |
title_fullStr | Experimental data of lithium-ion battery and ultracapacitor under DST and UDDS profiles at room temperature |
title_full_unstemmed | Experimental data of lithium-ion battery and ultracapacitor under DST and UDDS profiles at room temperature |
title_short | Experimental data of lithium-ion battery and ultracapacitor under DST and UDDS profiles at room temperature |
title_sort | experimental data of lithium-ion battery and ultracapacitor under dst and udds profiles at room temperature |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5396853/ https://www.ncbi.nlm.nih.gov/pubmed/28459088 http://dx.doi.org/10.1016/j.dib.2017.01.019 |
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