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 journalArticlepeer-review

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 languageEnglish
Article number110609
JournalData in Brief
Volume55
DOIs
StatePublished - Aug 2024

Keywords

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

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