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Last several decades of car design were a continuous and slow process. In recent years, due to the electrification of engines, the design approach requires fast adaptation/modification of old technologies to fit the upcoming requirements. Moreover, the new technologies need to be developed from scratch. One of the most important elements that has been radically changing in recent years is the drive transmission system. In order to help the fast development of novel powertrains, the ability to make fast and accurate Computational Fluid Dynamics (CFD) analysis is of high importance. A vast majority of the commonly used CFD solvers are based on Eulerian approaches (grid-based). These methods are, in general, efficient with some drawbacks, e.g. it is necessary to additionally handle the interface or free-surface within computational cells. Promising alternatives to Eulerian methods are Lagrangian approaches which, roughly speaking discretizes the fluid instead of spatial domain.