Validation of CFD Aerodynamics Simulations of the Cadillac Celestiq with Comparison to Wind Tunnel Data

Apr 9, 2024·
Nicolas Fougere
Nicolas Fougere
,
et al
· 0 min read
Image credit: thedrive
Abstract
In the context of vehicle electrification, improving vehicle aerodynamics is not only critical for efficiency and range, but also for driving experience. In order to balance the necessary trade-offs between drag and downforce without significant impact on the vehicle styling, we see an increasing amount of active aerodynamic solutions on high-end passenger vehicles. Active rear spoilers are one of the most common active aerodynamic features. They deploy at high vehicle speed when additional downforce is required. For a vehicle with an active rear spoiler, the aerodynamic performance is typically predicted through simulations or physical testing at different static spoiler positions. These positions range from fully stowed to fully deployed. However, this approach does not provide any information regarding the transient effects during the deployment of the rear spoiler, which can be critical to understanding key performance aspects of the system. In this paper, we propose a methodology leveraging Computational Fluid Dynamics (CFD) simulations utilizing the Lattice Boltzmann Method (LBM) enabling the accurate simulation of transient aerodynamics forces during deployment of a rear spoiler on a production level passenger vehicle. The simulation results are then compared with full-scale wind tunnel physical test data as a validation of the approach. This capability enables engineering teams to provide information to guide design decisions and can be generalized to model other types of active systems on cars such as active grilles and front splitters.
Type
Publication
SAE Technical Paper
Status
Peer-reviewed
publications
Nicolas Fougere
Authors
Senior Manager Role Portfolio

Nicolas Fougere helps global manufacturers turn emerging technology into commercial strategy. As Senior Manager for the Fluids Portfolio at Dassault Systèmes, he sets the 3-year strategy for a multi-product CFD portfolio, owns the productization and pricing models decisions, and leads the portfolio’s shift toward AI enabled simulation.

He came into this role after eight years in technical sales, where he served as account lead for some of the company’s largest customers. That work gave him a close view of how large organizations actually decide to adopt new technology, which is a big part of why his current strategy work tends to hold up once it meets a real customer.

Earlier still, he worked on mission analysis and simulation research supporting NASA and the European Space Agency’s Rosetta mission, and published more than 40 peer-reviewed papers along the way. His engineering and scientific degrees are from the University of Michigan.

What distinguishes Nicolas is the ability to move fluidly between deep technical work and business decision-making, from a simulation review with engineers to a pricing or roadmap discussion with executives. That range is increasingly what organizations need when deciding whether a simulation or AI investment is worth making.