Main Research ActivitiesThis PhD has two objectives.
It first aims at developing a reliable and experimental validated time-dependent three-dimensional model able to predict the impact of manufacturing parameters (calendering pressure and temperature) on the Solid Sttae Battery (SSB) composite electrode mesostructure. Such a model will be based on the Discrete Element Method (DEM), accounting for mechanical interactions between the SSBs active material, electrolyte and additive particles upon calendering. It will allow at gaining insights about the influence of the manufacturing parameters (e.g. calendering pressure and speed) on the interfaces ‘development between the constituent materials (active material, electrolyte, additives). It will also allow to predict the impact of composition, particle size and shape on the final electrode mesostructures. The DEM model will be experimentally-validated through descriptors such as the composite electrode conductivities and mechanical properties (measured by micro-indentation).
The second aim is to incorporate the calculated electrode mesostructures into a performance model allowing to spatially resolve the influence of the interfaces’ localization on the overall electrochemical responses. The latter will be validated on the basis of electrochemical experiments. Such integration of the predicted electrode mesostructures into the performance simulator falls into a ''sequential linking'' multiscale modeling strategy (output of the first model constitutes the input of the second model).
Master (EMJMD MESC+ programme, 2021)
Multiscale modeling, electrochemistry, materials science