Data-driven macro-scale simulation for rapid electrolyte wetting in lithium-ion batteries

The electrolyte wetting process in lithium-ion battery manufacturing is a critical part of processes that affects battery performance and productivity. However, it is difficult to accurately measure and optimise this process with existing technologies. In this study, a three-dimensional macroscopic filling and wetting simulation model based on actual battery material parameters is constructed, which can simulate the wetting process of electrolyte in porous electrodes and separators. The model is employed to analyse effects of filling pressure pattern, boundary conditions and other process parameters on the wetting rate. The results demonstrate that the use of multilateral cyclic pressure filling can optimise the electrolyte wetting, which is in accordance with industry practice. Consequently, the study proceeds to investigate potential process optimisation strategies, including electrolyte selection and ambient temperature. These findings not only address limitations of traditional models, which employ simplified parameters, but also present a novel approach to enhance manufacturing efficiency and reduce cost of lithium batteries. This is of paramount importance for the sustainable development of lithium-ion battery industry.