An electrochemical model of fluorinated crosslinked polymer solid-state lithium-ion battery

Solid-state lithium-ion batteries (SSLBs) exhibit significant potential for commercialization in key applications such as electric vehicles and energy storage systems, owing to their superior performance and safety features. Consequently, there is an urgent need to develop corresponding simulation models to address and optimize the use of SSLBs to better fit these critical applications. In order to accurately predict the external behavior of lithium metal electrode polymer solid state battery, this paper realized the accurate identification of the parameters of the electrochemical model of fluoropolymer battery by parameter sensitivity analysis and sensitivities weighted particle swarm optimization algorithm based on experimental data and mechanism analysis. The average prediction error is 13.4 mV during the discharge phase, and is 28.7 mV during the charge phase, confirming the model's validity. The parameterized model is used to investigate the lithium-ion concentration in both the time and spatial domains within the electrolyte. Additionally, the impact of optimizing physical parameters on the battery's capacity curve is explored, providing valuable insights for polymer solid-state lithium-ion battery design optimization.