Dataset of mechanically induced thermal runaway measurement and severity level on Li-ion batteries

Lianshan Lin; Jianlin Li; Isabella M. Fishman; Loraine Torres-Castro; Yuliya Preger; Valerio De Angelis; Irving Derin; Xiaoqing Zhu; Hsin Wang

doi:10.1016/j.dib.2024.110609

Dataset of mechanically induced thermal runaway measurement and severity level on Li-ion batteries

Lianshan Lin
, Jianlin Li
, Isabella M. Fishman
, Loraine Torres-Castro
, Yuliya Preger
, Valerio De Angelis
, Irving Derin
, Xiaoqing Zhu
, Hsin Wang

Research output: Contribution to journal › Article › peer-review

4 Scopus citations

Abstract

The deployment of Li-ion batteries covers a wide range of energy storage applications, from mobile phones, e-bikes, electric vehicles (EV) to stationary energy storage systems. However, safety issue such as thermal runaway is always one of the most important concerns preventing Li-ion batteries from further market penetration. A standardized single-side indentation test protocol was developed to mechanically induce an internal short-circuit. The cell voltage, compressive load, indenter stroke, and temperature at the indentation point are measured in time series. The test data of each cell, along with cell parameters such as dimensions, mass, chemistry, state of charge (SOC), capacity, are integrated to calculate a thermal runaway severity score from 0 to100. Complete data collection process including the original measured record, test method, severity score calculation scheme is presented in this article. The thermal runaway severity analysis and the more than 100 tested Li-ion battery records provide a good data source for further comparison and ranking of thermal runaway risks.

Original language	English
Article number	110609
Journal	Data in Brief
Volume	55
DOIs	https://doi.org/10.1016/j.dib.2024.110609
State	Published - Aug 2024

Funding

This work was supported by the Department of Energy (DOE), Office of Electricity (OE) at Oak Ridge National Laboratory managed by UT-Battelle LLC under contract DE-AC05-00OR22725, and Sandia National Laboratories. This article has been authored by an employee of National Technology & Engineering Solutions of Sandia, LLC under Contract No. DE-NA0003525 with the U.S. Department of Energy (DOE). The employee owns all right, title and interest in and to the article and is solely responsible for its contents. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this article or allow others to do so, for United States Government purposes. The DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan https://www.energy.gov/downloads/doe-public-access-plan. XQZ was supported by the China Scholarship Council (No. 201806030115). IF was supported in part by the U.S. Department of Energy, Office of Science, Office of Workforce Development for Teachers and Scientists (WDTS) under the Science Undergraduate Laboratory Internships Program (SULI). The authors appreciate Soteria Battery Innovation Group ([email protected]) provided helpful dialogue and test materials. The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. This work was supported by the Department of Energy (DOE), Office of Electricity (OE) at Oak Ridge National Laboratory managed by UT-Battelle LLC under contract DE-AC05-00OR22725 , and Sandia National Laboratories. This article has been authored by an employee of National Technology & Engineering Solutions of Sandia, LLC under Contract No. DE-NA0003525 with the U.S. Department of Energy (DOE) . The employee owns all right, title and interest in and to the article and is solely responsible for its contents. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this article or allow others to do so, for United States Government purposes. The DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan https://www.energy.gov/downloads/doe-public-access-plan. XQZ was supported by the China Scholarship Council (No. 201806030115 ). IF was supported in part by the U.S. Department of Energy, Office of Science, Office of Workforce Development for Teachers and Scientists (WDTS) under the Science Undergraduate Laboratory Internships Program (SULI). The authors appreciate Soteria Battery Innovation Group ([email protected]) provided helpful dialogue and test materials.

Keywords

Battery
Database
Energy storage
Hazard severity
Indentation test
Internal short-circuit

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10.1016/j.dib.2024.110609

Cite this

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title = "Dataset of mechanically induced thermal runaway measurement and severity level on Li-ion batteries",

abstract = "The deployment of Li-ion batteries covers a wide range of energy storage applications, from mobile phones, e-bikes, electric vehicles (EV) to stationary energy storage systems. However, safety issue such as thermal runaway is always one of the most important concerns preventing Li-ion batteries from further market penetration. A standardized single-side indentation test protocol was developed to mechanically induce an internal short-circuit. The cell voltage, compressive load, indenter stroke, and temperature at the indentation point are measured in time series. The test data of each cell, along with cell parameters such as dimensions, mass, chemistry, state of charge (SOC), capacity, are integrated to calculate a thermal runaway severity score from 0 to100. Complete data collection process including the original measured record, test method, severity score calculation scheme is presented in this article. The thermal runaway severity analysis and the more than 100 tested Li-ion battery records provide a good data source for further comparison and ranking of thermal runaway risks.",

keywords = "Battery, Database, Energy storage, Hazard severity, Indentation test, Internal short-circuit",

author = "Lianshan Lin and Jianlin Li and Fishman, \{Isabella M.\} and Loraine Torres-Castro and Yuliya Preger and \{De Angelis\}, Valerio and Irving Derin and Xiaoqing Zhu and Hsin Wang",

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year = "2024",

month = aug,

doi = "10.1016/j.dib.2024.110609",

language = "English",

volume = "55",

journal = "Data in Brief",

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AU - Lin, Lianshan

AU - Li, Jianlin

AU - Fishman, Isabella M.

AU - Torres-Castro, Loraine

AU - Preger, Yuliya

AU - De Angelis, Valerio

AU - Derin, Irving

AU - Zhu, Xiaoqing

AU - Wang, Hsin

PY - 2024/8

Y1 - 2024/8

N2 - The deployment of Li-ion batteries covers a wide range of energy storage applications, from mobile phones, e-bikes, electric vehicles (EV) to stationary energy storage systems. However, safety issue such as thermal runaway is always one of the most important concerns preventing Li-ion batteries from further market penetration. A standardized single-side indentation test protocol was developed to mechanically induce an internal short-circuit. The cell voltage, compressive load, indenter stroke, and temperature at the indentation point are measured in time series. The test data of each cell, along with cell parameters such as dimensions, mass, chemistry, state of charge (SOC), capacity, are integrated to calculate a thermal runaway severity score from 0 to100. Complete data collection process including the original measured record, test method, severity score calculation scheme is presented in this article. The thermal runaway severity analysis and the more than 100 tested Li-ion battery records provide a good data source for further comparison and ranking of thermal runaway risks.

AB - The deployment of Li-ion batteries covers a wide range of energy storage applications, from mobile phones, e-bikes, electric vehicles (EV) to stationary energy storage systems. However, safety issue such as thermal runaway is always one of the most important concerns preventing Li-ion batteries from further market penetration. A standardized single-side indentation test protocol was developed to mechanically induce an internal short-circuit. The cell voltage, compressive load, indenter stroke, and temperature at the indentation point are measured in time series. The test data of each cell, along with cell parameters such as dimensions, mass, chemistry, state of charge (SOC), capacity, are integrated to calculate a thermal runaway severity score from 0 to100. Complete data collection process including the original measured record, test method, severity score calculation scheme is presented in this article. The thermal runaway severity analysis and the more than 100 tested Li-ion battery records provide a good data source for further comparison and ranking of thermal runaway risks.

KW - Battery

KW - Database

KW - Energy storage

KW - Hazard severity

KW - Indentation test

KW - Internal short-circuit

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U2 - 10.1016/j.dib.2024.110609

DO - 10.1016/j.dib.2024.110609

M3 - Article

AN - SCOPUS:85196002638

SN - 2352-3409

VL - 55

JO - Data in Brief

JF - Data in Brief

M1 - 110609

ER -

Dataset of mechanically induced thermal runaway measurement and severity level on Li-ion batteries

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Keywords

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