The campaign presented here comprises two optimisation tasks with separate objectives. The first task is to identify an electrolyte formulation with maximum ionic conductivity by using data generated from experiments and simulations. As for the second task, the objective is to find an electrolyte formulation that maximises the EOL of coin cells. Each of these tasks is associated with a separate instance and configuration of the F2Opt tenant, OCond and OEOL. We show, that the two optimisers can operate on the same MAP through a common FINALES instance, while pursuing fully independent tasks.