Study on Large-Scale Many-Objective Optimization Method for Aerodynamics and Underhood Cooling Airflow Using Detailed Vehicle Model

Abstract

This paper studied a shape optimization method using HPC (High Performance Computing) to obtain optimal designs which satisfy aerodynamics and underhood cooling airflow for a detailed full-vehicle model. The shape optimization workflow integrated with shape morphing, CFD (Computational Fluid Dynamics) and evolutionary computation was applied to a many-objective optimization for Cd and airflow velocities through heat exchangers. The result showed several optimal designs which all objectives are improved from the default.