Mechanically induced thermal runaway severity analysis of Li-ion batteries and continuous energy release monitoring

L. Lin, K. Hartono, Y. Ko, R. Mallela, Y. Samantaray, H. Bouteiller, M. Z. Bazant, H. Wang

Research output: Contribution to journalArticlepeer-review

Abstract

The large-scale deployment of Li-ion batteries in stationary energy storage and electrical vehicle applications demands a strong focus on safety, particularly on the thermal runaway risk and severity evaluation. A standardized single-side mechanical indentation test protocol was developed to induce an internal short-circuit (ISC) and evaluate cells' thermal runaway severity at different state of charge (SOC). The observed hazard severity (OHS in five categories) and evaluated scores in this work have a comprehensive consideration of each cell's capacity, initial voltage, SOC, temperature and voltage change, allowing a better evaluation of the cells' thermal runaway potential. This method was applied to about 200 Li-ion batteries in order to build an extensive thermal runaway database covering various SOCs, capacities and chemistries. In this study, we monitored the transitions of stored electrochemical energy and applied mechanical energy into both thermal energy and acoustic emissions (AE). The surface temperature and mechanical failures were monitored by infrared imaging and AE to capture critical events within battery cells throughout the mechanical indentation tests. The initial temperature maps can predict two types of follow-up events: thermal runaway or gradual heat release via conduction. Analyzing each cell's severity, AEs, and leveraging the evolving database offer insights into predicting occurrences of thermal runaway. The test method, thermal runaway severity evaluation and prediction, and the corresponding database provide battery designers, manufacturers, and end-users a clear overview of Li-ion batteries' thermal runaway potential under mechanical abuse, advancing the safety design of Li-ion batteries.

Original languageEnglish
Article number118078
JournalJournal of Energy Storage
Volume133
DOIs
StatePublished - Oct 20 2025

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 . 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 . K. Hartono and R. Mallela were 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). Y. Ko was supported by the Graduate Research Opportunity (GRO) program managed by the Oak Ridge Institute for Science and Education (ORISE). This manuscript has been authored in part by UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the US Department of Energy (DOE). The US government retains and the publisher, by accepting the article for publication, acknowledges that the US government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for US government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan ( http://energy.gov/downloads/doe-public-access-plan ).

Keywords

  • Acoustic emission
  • IR imaging
  • Li-ion battery
  • Mechanical abuse
  • Thermal runaway

Fingerprint

Dive into the research topics of 'Mechanically induced thermal runaway severity analysis of Li-ion batteries and continuous energy release monitoring'. Together they form a unique fingerprint.

Cite this