García Martínez, A.; Micó, C.; Marco-Gimeno, J.; Bernal, A. (2024). A tabulation method of Li-ion Thermal Runaway mechanisms for the acceleration of high dimensional simulations. Journal of Energy Storage. 102. https://doi.org/10.1016/j.est.2024.113982
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/211712
[EN] High-Fidelity numerical simulations of the Thermal Runaway (TR) phenomenon on lithium-ion batteries (LIB) depict stiff system of equations that need to be solved with extremely low time-steps to ensure numerical ...[+]
[EN] High-Fidelity numerical simulations of the Thermal Runaway (TR) phenomenon on lithium-ion batteries (LIB) depict stiff system of equations that need to be solved with extremely low time-steps to ensure numerical stability. In the present study, a methodology is presented to improve computational times and convergence of three-dimensional studies. A tabulation approach of the developed chemical kinetics models on the literature is presented to avoid the resolution of the set of Ordinary Differential Equations (ODE) that define the self-heating behavior of LIB under thermal degradation conditions. The desired tables have been obtained through 0-dimensional models for three different cathode materials ( LiCoO 2 , NMC111 and NCA) and the TR mechanism have been replicated with the tabulation method firstly through the 0-dimensional approach and then translated to a 3-dimensional model to ensure its functionality and assess the minimum time-step needed for performing TR simulations. The results through the tabulation method replicate almost exactly the onset temperature for the three cathode chemistry both 0-dimensonally and 3-dimensionally. Additionally, a significant speed up is reported for TR propagation studies performed, allowing time-steps three orders of magnitude larger than through traditional methods while ensuring numerical stability.[-]
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2021-124696OB-C21/ES/GEMELO DIGITAL DE VEHICULO ELECTRICO INCLUYENDO UN MODELO DE ESTADO DE SALUD DE LA BATERIA (CLEAN-BREATHE)/ info:eu-repo/grantAgreement/MICINN//TED2021-132220B-C21/ info:eu-repo/grantAgreement/MICINN//TED2021-130488AI00/
Thanks:
This research is part of the projects TED2021-132220B-C21 and TED2021-130488AI00, funded by the MCIN/AEI/10.13039/501100011033 and the European Union "NextGenerationEU"/PRTR, and PID2021-124696OB-C21, funded by Ministerio ...[+]
This research is part of the projects TED2021-132220B-C21 and TED2021-130488AI00, funded by the MCIN/AEI/10.13039/501100011033 and the European Union "NextGenerationEU"/PRTR, and PID2021-124696OB-C21, funded by Ministerio de Ciencia e Innovacion, Agencia Estatal de Investigacion and FEDER (MCIN/AEI/10.13039/5011000110 33/FEDER,UE) .[-]