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Safety of lithium ion batteries

Through a series of projects funded by the European Commission and Innovate UK, we are carrying out analytical, experimental, and numerical studies of thermal runaway in lithium-ion batteries with particular focus on the mechanisms of thermal runaway and its propagation in lithium-ion batteries clusters and modules.

Overview

Within the frame of OpenFOAM, a dedicated in-house LibFOAM solver has been developed and validated to address the following:​

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  1. Shelke, Ashish V., Buston, Jonathan E. H., Gill, Jason, Howard, Daniel, Williams, Rhiannon C. E., Read, Elliott, Abaza, Ahmed, Cooper, Brian, Richards, Philp and Wen, Jennifer X. (2022)  International Journal of Heat and Mass Transfer, 194.123099. doi:.​

  2. Shelke, Ashish V., Buston, Jonathan E.H., Gill, Jason, Howard, Daniel, Abbott, Katie C., Goddard, Steven L., Read, Elliott, Howard, Gemma E., Abaza, Ahmed, Cooper, Brian and Wen, Jennifer X. (2022)  Applied Thermal Engineering, 209 . 118278. doi:10.1016/j.applthermaleng.2022.118278.

  3. Kong, Depeng, Wang, Gongquan, Ping, Ping and Wen, Jennifer X. (2022)  eTransportation, 12.100157. doi:.​

  4. Vendra, Chandra Madhav Rao, Shelke, Ashish V., Buston, Jonathan E.H., Gill, Jason, Howard, Daniel, Read, Elliott, Abaza, Ahmed, Cooper, Brian and Wen, Jennifer X. (2022)  Process Safety and Environmental Protection, 160 . pp. 153-165. doi:.

  1. Kong, Depeng, Wang, Gongquan, Ping, Ping and Wen, Jennifer X. (2021)  Applied Thermal Engineering, 189.116661. doi:.​

  2. Chen, Haodong, Buston, Jonathan E. H., Gill, Jason, Howard, Daniel, Williams, Rhiannon C. E., Read, Elliott, Abaza, Ahmed, Cooper, Brian and Wen, Jennifer X. (2021)  Journal of The Electrochemical Society, 168 (1). 010502. doi:.​

  3. Wang, Qingsong, Wen, Jennifer X. and Stoliarov, Stanislav (2020)  Fire Technology, 56 (6). pp. 2345-2347. doi:.​

  4. Chen, Haodong, Buston, Jonathan E. H., Gill, Jason, Howard, Daniel, Williams, Rhiannon C. E., Rao Vendra, Chandra M., Shelke, Ashish and Wen, Jennifer X. (2020)  Journal of Power Sources, 472 . 228585. doi:.​

  5. Kong, Depeng, Peng, Rongqi, Ping, Ping, Du, Jin, Chen, Guoming and Wen, Jennifer X. (2020)  Energy Conversion and Management, 204.112280. doi:.​

  6. Ping, Ping, Peng, Rongqi, Kong, Depeng, Chen, Guoming and Wen, Jennifer X. (2018)  Energy Conversion and Management, 176 . pp. 131-146. doi:10.1016/j.enconman.2018.09.025.

  7. Ping, Ping, Kong, Depeng, Zhang, Jiaqing, Wen, Ruoxi and Wen, Jennifer X. (2018)  Journal of Power Sources, 398 . pp. 55-66. doi:.​

  8. Ping, Ping, Wang, Qingsong, Chung, Yongmann M. and Wen, Jennifer X. (2017)  Applied Energy, 205 . pp. 1327-1344. doi:.​

  9. Huang, Peifeng, Ping, Ping, Li, Ke, Chen, Haodong, Wang, Qingsong, Wen, J. X. (Jennifer X.) and Sun, Jinhua (2016)  Applied Energy, 183 . pp. 659-673. doi:.

Thermal runaway evolution

Thermal runaway induced by thermal abuse​

Combined numerical and experimental studies (in collaboration with UK Health and Safety Executive Science Division) have been carried out to investigate thermal runaway of large format 21700 cylindrical lithium-ion battery induced by different thermal abuse. Experiments were firstly conducted with the extend volume accelerating calorimetry (EV-ARC) using both the heat-wait-seek (HWS) protocol and under isothermal conditions. The kinetic parameters were derived from one of the HWS EV-ARC tests and implemented in the in-house modified computational fluid dynamics code OpenFOAM. For the subsequent computational fluid dynamics simulations, the cell was treated as a 3D block with anisotropic thermal conductivities.

The model was verified by the remaining two heat-wait-seek tests not used in the derivation of the kinetic parameters and validated with newly conducted isothermal EV-ARC tests. Further laboratory tests and model validation were also subsequently conducted using Kanthal wire heaters. The validated model was also used to fill the experimental gaps by predicting the onset temperature for thermal runaway in simulated EV-ARC environment, heat generation rate due to different abuse reactions, the influence of heating power and heating arrangement as well as the effect of heat dissipation on thermal runaway evolution and the implications for battery thermal management.

    Thermal runaway induced by nail penetration​

    Axial nail penetration

    A modelling approach has been developed considering the cell as a lumped block with anisotropic thermal conductivities. The model incorporates heat generation due to penetration induced internal short circuit and exothermic decomposition reactions as well as heat dissipation through convective and radiative heat transfer. Validation has been conducted with the current experimental measurements.

    The predictions have also been used to analyse the relative contributions to heat generation due to internal short circuit and decompositions of the component materials including solid electrolyte interphase layer, anode, cathode and electrolyte.

    Venting during thermal runaway

    The cell internal pressure evolution predicted by the analytical model​

    An analytical model has been developed to predict cell lithium-ion batteries internal pressure evolution following vent opening. The model uses the measured cell internal temperature and EV-ARC canister pressure as input data.

    Its predictions serve as boundary condition in the three-dimensional computational fluid dynamics simulation of thermal runaway induced fire using opensource code OpenFOAM.

    Join us

    If you are interested in undertaking a project with us then please contact us to discuss options.

    Jennifer X Wen profile image

    Professor Jennifer Wen

    Head of Fire and Explosion Modelling Group