“…Regardless of the chosen approach for investigating both vehicle aerodynamic performance and aeroacoustics (direct or hybrid), RANS-LES methods have gained recognition for their ability to deliver solutions with superior accuracy compared to the RANS approach [14,27,28] while remaining computationally more e cient than the full LES subjected to realistic ow conditions [9,29,30,31]. To date, various RANS-LES variants, viz., DES, DDES, IDDES, and SBES approaches coupled with near-wall modelling using SST, SA, and k-ε approaches, have been extensively applied to generic and non-generic mirror geometries [52,53,54,55], SAE-T4 and DrivAer vehicle con gurations [10,11,22,32]. RANS-LES-based numerical investigations on these geometries have not only shown excellent agreement with experiments but have also enhanced our understanding of ow physics.…”