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Intelligent power-split device optimization using a multi-surrogate framework integrating Bayesian learning and physics-based design for next-generation hybrid vehicles

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Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering

Published online on

Abstract

Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, Ahead of Print.
This article introduces a knowledge-augmented design process for power-split devices in hybrid electric vehicles, one of the important devices where improvement in fuel consumption and emissions is critical. In this work, a three-phase framework is ...