Multi-Scale Reinforcement Learning of Dynamic Energy Controller for Connected Electrified Vehicles

The synergy of reinforcement learning (RL)-based energy management and vehicle-to-everything communication has been proved effective in boosting the fuel economy of connected plug-in hybrid electric vehicles (PHEVs). However, the intricate coupling of mechanical, electrical, thermal states and drivi...

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Veröffentlicht in:	IEEE transactions on intelligent transportation systems S. 1 - 13
Hauptverfasser:	Zhang, Hao, Lei, Nuo, Li, Shengbo Eben, Zhang, Junzhi, Wang, Zhi
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	IEEE 2025
Schlagworte:	Autoencoders Data models Decoding Energy management Engines Generators Mechanical power transmission multi-horizon plug-in hybrid electric vehicles Reinforcement learning traffic preview Transient analysis Vectors Vehicle dynamics
ISSN:	1524-9050, 1558-0016
Online-Zugang:	Volltext
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