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http://dx.doi.org/10.14346/JKOSOS.2021.36.5.1

Analysis of Effect of Surface Temperature Rise Rate of 72.5 Ah NCM Pouch-type Lithium-ion Battery on Thermal Runaway Trigger Time  

Lee, Heung-Su (Fire Insurers Laboratories of Korea, Korean Fire Protection Association)
Hong, Sung-Ho (Fire Insurers Laboratories of Korea, Korean Fire Protection Association)
Lee, Joon-Hyuk (Fire Insurers Laboratories of Korea, Korean Fire Protection Association)
Park, Moon Woo (Fire Insurers Laboratories of Korea, Korean Fire Protection Association)
Publication Information
Journal of the Korean Society of Safety / v.36, no.5, 2021 , pp. 1-9 More about this Journal
Abstract
With the convergence of the information and communication technologies, a new age of technological civilization has arrived. This is the age of intelligent revolution, known as the 4th industrial revolution. The 4th industrial revolution is based on technological innovations, such as robots, big data analysis, artificial intelligence, and unmanned transportation facilities. This revolution would interconnect all the people, things, and economy, and hence will lead to the expansion of the industry. A high-density, high-capacity energy technology is required to maintain this interconnection. As a next-generation energy source, lithium-ion batteries are in the spotlight today. However, lithium-ion batteries can cause thermal runaway and fire because of electrical, thermal, and mechanical abuse. In this study, thermal runaway was induced in 72.5 Ah NCM pouch-type lithium-ion batteries because of thermal abuse. The surface of the pouch-type lithium-ion batteries was heated by the hot plate heating method, and the effect of the rate of increase in the surface temperature on the thermal runaway trigger time was analyzed using Minitab 19, a statistical analysis program. The correlation analysis results confirmed that there existed a strong negative relationship between each variable, while the regression analysis demonstrated that the thermal runaway trigger time of lithium-ion batteries can be predicted from the rate of increase in their surface temperature.
Keywords
lithium-ion battery; thermal runaway; surface temperature rise rate; correlation analysis; regression analysis;
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