Evidence map›Paper›PMID 41219378›Full record

ArticleScientific reports2025

An investigation of critical parameters on spontaneous combustion for lithium-ion battery using bifurcation theory.

Heyu Wang, Yue Chan

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Heyu WangInstitute for Advanced Study, Shenzhen University, Shenzhen, 518060, China.
Yue ChanInstitute for Advanced Study, Shenzhen University, Shenzhen, 518060, China. unimelbat@hotmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Electric vehicles (EVs) are prevalent in the modern automotive industry, providing zero emission during their operation. However, there are numerous circumstances such as extreme temperatures and collisions, which cause the spontaneous ignition of Lithium-based batteries (LIBs), resulting in severe safety problems. Current literature mainly focuses on advancing the heat conduction of such batteries, using LIB numerical simulation based on software such as COMSOL, few explore the critical parameters, for which the spontaneous ignitions of batteries occur. Due to the extensive parameters, instability and huge computational times in running numerical simulations, it is difficult to simulate the critical parameters of LIBs. Mathematically, bifurcation theory provides a qualitative way to determine the critical parameters, which does not require complex numerical calculations to evaluate such parameters of LIB thermal runaway (TR). Henceforth, we establish two simple parallel and circular models to demonstrate how we can use bifurcation theory to determine paramount factors, paving the way for more sophisticated studies on the design of LIB cooling systems, the choice of battery materials and the curvature of LIBs to enhance their safety operations. Last but not least, the present study provides starting references for computationally extensive LIB numerical simulations.

Indexed as

Critical parametersElectric vehiclesLithium-ion batteriesNumerical simulationThermal runaway

Identifiers

PMID41219378
PMCPMC12606366

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.