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Real-time energy optimization of HEVs under-connected environment: a benchmark problem and receding horizon-based solution

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Real-time energy optimization of HEVs under-connected environment: a benchmark problem and receding horizon-based solution

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Xu, F.; Tsunogawa, H.; Kako, J.; Hu, X.; Eben Li, S.; Shen, T.; Eriksson, L.... (2022). Real-time energy optimization of HEVs under-connected environment: a benchmark problem and receding horizon-based solution. Control Theory and Technology. 20:145-160. https://doi.org/10.1007/s11768-022-00086-y

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Metadatos del ítem

Título: Real-time energy optimization of HEVs under-connected environment: a benchmark problem and receding horizon-based solution
Autor: Xu, Fuguo Tsunogawa, Hiroki Kako, Junichi Hu, Xiaosong Eben Li, Shengbo Shen, Tielong Eriksson, Lars Guardiola, Carlos
Entidad UPV: Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros Industriales - Escola Tècnica Superior d'Enginyers Industrials
Fecha difusión:
Resumen:
[EN] In this paper, we propose a benchmark problem for the challengers aiming to energy efficiency control of hybrid electric vehicles (HEVs) on a road with slope. Moreover, it is assumed that the targeted HEVs are in the ...[+]
Palabras clave: Powertrain control , Connected and automated vehicles , Hybrid electric vehicles , Vehicle-to-everything
Derechos de uso: Reserva de todos los derechos
Fuente:
Control Theory and Technology. (issn: 2095-6983 )
DOI: 10.1007/s11768-022-00086-y
Editorial:
Springer-Verlag
Versión del editor: https://doi.org/10.1007/s11768-022-00086-y
Tipo: Artículo

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