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Dataset of fire tests with lithium-ion battery electric vehicles in road tunnels
A set of five fire tests involving battery electric vehicles and conventional cars was performed in a tunnel. This data article provides the dataset of some of the determined parameters: air temperature, air velocity and heat release rate. The air temperature was measured at several locations and at...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9801077/ https://www.ncbi.nlm.nih.gov/pubmed/36591384 http://dx.doi.org/10.1016/j.dib.2022.108839 |
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author | Sturm, Peter Fößleitner, Patrik Fruhwirt, Daniel Heindl, Simon Franz Heger, Oliver Galler, Robert Wenighofer, Robert Krausbar, Stefan |
author_facet | Sturm, Peter Fößleitner, Patrik Fruhwirt, Daniel Heindl, Simon Franz Heger, Oliver Galler, Robert Wenighofer, Robert Krausbar, Stefan |
author_sort | Sturm, Peter |
collection | PubMed |
description | A set of five fire tests involving battery electric vehicles and conventional cars was performed in a tunnel. This data article provides the dataset of some of the determined parameters: air temperature, air velocity and heat release rate. The air temperature was measured at several locations and at different heights, distributed in the cross section of the tunnel. The velocity of the incoming air was also measured. The third parameter, the heat release rate (HRR), was calculated based on the enthalpy flow before and after the fire location. This parameter is important for characterizing the size of a vehicle fire. The data provide a reference for the evaluation of BEV fires and could be taken as reference for further fire studies. They might be also of interest to research groups dealing with simulation applications, like three-dimensional CFD simulations. |
format | Online Article Text |
id | pubmed-9801077 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-98010772022-12-31 Dataset of fire tests with lithium-ion battery electric vehicles in road tunnels Sturm, Peter Fößleitner, Patrik Fruhwirt, Daniel Heindl, Simon Franz Heger, Oliver Galler, Robert Wenighofer, Robert Krausbar, Stefan Data Brief Data Article A set of five fire tests involving battery electric vehicles and conventional cars was performed in a tunnel. This data article provides the dataset of some of the determined parameters: air temperature, air velocity and heat release rate. The air temperature was measured at several locations and at different heights, distributed in the cross section of the tunnel. The velocity of the incoming air was also measured. The third parameter, the heat release rate (HRR), was calculated based on the enthalpy flow before and after the fire location. This parameter is important for characterizing the size of a vehicle fire. The data provide a reference for the evaluation of BEV fires and could be taken as reference for further fire studies. They might be also of interest to research groups dealing with simulation applications, like three-dimensional CFD simulations. Elsevier 2022-12-16 /pmc/articles/PMC9801077/ /pubmed/36591384 http://dx.doi.org/10.1016/j.dib.2022.108839 Text en © 2022 The Authors https://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 Sturm, Peter Fößleitner, Patrik Fruhwirt, Daniel Heindl, Simon Franz Heger, Oliver Galler, Robert Wenighofer, Robert Krausbar, Stefan Dataset of fire tests with lithium-ion battery electric vehicles in road tunnels |
title | Dataset of fire tests with lithium-ion battery electric vehicles in road tunnels |
title_full | Dataset of fire tests with lithium-ion battery electric vehicles in road tunnels |
title_fullStr | Dataset of fire tests with lithium-ion battery electric vehicles in road tunnels |
title_full_unstemmed | Dataset of fire tests with lithium-ion battery electric vehicles in road tunnels |
title_short | Dataset of fire tests with lithium-ion battery electric vehicles in road tunnels |
title_sort | dataset of fire tests with lithium-ion battery electric vehicles in road tunnels |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9801077/ https://www.ncbi.nlm.nih.gov/pubmed/36591384 http://dx.doi.org/10.1016/j.dib.2022.108839 |
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