Aerodynamics-guided machine learning for design optimization of electric vehicles

Abstract The transition to electric vehicles is driving a fundamental shift in the automobile design process. Changes in constraints afforded by the absence of a combustion engine create new opportunities for modifying vehicle geometries. Current approaches to optimizing vehicle aerodynamics require...

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Bibliographic Details
Main Authors: Jonathan Tran, Kai Fukami, Kenta Inada, Daisuke Umehara, Yoshimichi Ono, Kenta Ogawa, Kunihiko Taira
Format: Article
Language:English
Published: Nature Portfolio 2024-11-01
Series:Communications Engineering
Online Access:https://doi.org/10.1038/s44172-024-00322-0
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