Resumen:

The use of computational modeling has been gaining relevance as a way to reduce cost, time and resources in the innovation process of the battery industry. There are many types of models with varying complexity and scale. However, what they all have in common is that their accuracy greatly depends on the faithful parametrization of the cells and materials they simulate.  One of the most impactful ways in which computational modeling has been employed has been in the optimization of the electrode manufacturing process. Electrode manufacturing has a critical role in the performance of the end-devices and even in their aging. Electrode thickness, active material size, microstructure and material disposition are just a few of the parameters that have to be considered during the manufacturing process and small changes in composition, deposition and even drying processes can have dire effects on them. For this reason, battery simulation is so intimately related to experimental electrochemistry, they complement each other both in the academic environment and at industry scale.

In this overview of the battery modelling field, it will be outlined the different types of models and scales, their limitations, capabilities and presented a few application cases.