DOI: 10.1177/09544070261458451 ISSN: 0954-4070
Aerodynamic development of an executive-class electric sedan: A case study of the Stelato S9
Jia Wang, Yan Liu, Bin-Hui Teng, Li-Wen Xie, Li-Xin Wang, Yi-Fei Wang, Yun Cheng
Aerodynamic drag reduction has become increasingly important for battery-electric vehicles (EVs), particularly in the low drag coefficient (
C
d
) regime, where further aerodynamic improvement progressively depends on production-oriented refinement under realistic engineering constraints. This study investigates the aerodynamic development process of the production executive-class electric sedan Stelato S9 under progressively constrained styling, engineering, and manufacturing conditions, with emphasis on the evolving role of steady-state CFD simulations during different development stages. During the early-stage pre-clay development phase, extensive steady-state CFD simulations were conducted under relatively high geometric freedom to establish a low-drag vehicle architecture. Representative aerodynamic optimization measures associated with front-end pressure redistribution, wheel-region flow organization, and rear-body wake regulation collectively achieved a drag reduction of approximately 26 counts (Δ
C
d
≈ −0.026). As aerodynamic development progressed, subsequent refinement increasingly relied on localized production-oriented optimization measures under constrained geometric conditions. Three rounds of clay-model aerodynamic refinement and wind-tunnel validation were subsequently conducted, yielding measured drag coefficients of
C
d
= 0.214, 0.216, and 0.211, with corresponding CFD predictions of
C
d
= 0.213, 0.220, and 0.218, respectively. The results indicate that steady-state CFD simulations generally provided reliable aerodynamic trend prediction for optimization measures dominated by attached or geometry-constrained flow structures, whereas significantly larger discrepancies were observed for optimization measures involving strongly separated rear-body wake flows. Across the investigated clay-model configurations, the baseline drag-coefficient prediction error of the CFD simulations remained within approximately 4% compared with the wind-tunnel measurements. The final production vehicle achieved a drag coefficient of
C
d
= 0.196 at 120 km/h through the combined effects of exterior aerodynamic refinement, underbody aerodynamic optimization, and electronic rearview mirrors. Overall, the present study provides production-oriented engineering insight into aerodynamic development characteristics and CFD applicability in the sub-0.20
C
d
regime under realistic engineering constraints.