Venturelli, M; Broche, L; Buckwell, M; Pfaff, J; Fordham, A; Kirchner-Burles, C; Reid, HT; ... Fransson, M; + view all Venturelli, M; Broche, L; Buckwell, M; Pfaff, J; Fordham, A; Kirchner-Burles, C; Reid, HT; Gedara, MT; Schopferer, S; Finegan, DP; Robinson, J; Jervis, R; Rack, A; Darcy, E; Shearing, P; Fransson, M; - view fewer (2025) Insights into thermal runaway mechanisms: Fast tomography analysis of metal agglomerates in lithium-ion batteries. Journal of Energy Storage , 131 (Part A) , Article 117122. 10.1016/j.est.2025.117122.

Text Agglomerate_Work.pdf - Accepted Version Access restricted to UCL open access staff until 26 June 2026. Download (46MB)

Abstract

Thermal Runaway (TR) in lithium-ion batteries (LIB) is a critical technological and social concern. Whilst such events are rare, TR is characterized by uncontrollable heating leading to catastrophic failures. To deepen the understanding of the failure process and subsequently develop more accurate TR prediction models and as a result safer battery systems, we present in this work high-speed X-ray tomography for in-depth investigations of the copper current collector melting and agglomeration during TR. The melting process presents valuable real-time internal information about heat evolution during TR, previously challenging to access but crucially important for validating TR models. In this work, controlled failure studies combined with high-speed X-ray tomography were performed on two different commercial LIB models, subjecting them to both external heating and nail penetration to induce TR. Through real-time observation via high-speed tomography, followed by segmentation, rendering, and analysis, the formation of copper agglomerates was qualitatively and quantitatively characterized and visualized for the first time. Agglomerates tended to form either from the battery's outermost layers or centrally, depending on the method of TR initiation, and gives an indirect insight into the internal temperature evolution and distribution. Moreover, an initial comparative analysis between the battery models also revealed differences in agglomerate size, which has been linked to the thicker copper current collectors of one of the cell models. We further discuss the impact of larger copper agglomerates on heat distribution and safety. This study not only sheds light on the intricate dynamics of TR in LIBs but also underscores the pivotal role of ’gold-standard’ imaging techniques in advancing battery safety, crucial for the robust modeling of TR and the future design of electric vehicle safety systems.

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