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Data-driven multi-scenario driving cycle construction for off-road unmanned ground 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.
High-fidelity driving cycles serve as the fundamental basis for the energy efficiency assessment and powertrain optimization of Off-road Unmanned Ground Vehicles (OUGVs). To address the modeling challenges posed by the strong nonlinearity and high ...