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[HTML][HTML] Energy efficiency of connected autonomous vehicles: A review
Connected autonomous vehicles (CAVs) have emerged as a promising solution for
enhancing transportation efficiency. However, the increased adoption of CAVs is expected …
enhancing transportation efficiency. However, the increased adoption of CAVs is expected …
A comprehensive survey of the key technologies and challenges surrounding vehicular ad hoc networks
Vehicular ad hoc networks (VANETs) and the services they support are an essential part of
intelligent transportation. Through physical technologies, applications, protocols, and …
intelligent transportation. Through physical technologies, applications, protocols, and …
Cooperative energy management and eco-driving of plug-in hybrid electric vehicle via multi-agent reinforcement learning
The advanced cruise control system has expanded the energy-saving potential of the hybrid
electric vehicle (HEV). Despite this, most energy-saving researches for HEV either only …
electric vehicle (HEV). Despite this, most energy-saving researches for HEV either only …
Adaptive eco-cruising control for connected electric vehicles considering a dynamic preceding vehicle
Energy consumption and driving safety of a vehicle are greatly influenced by the driving
behaviors of the vehicle in front (also termed the preceding vehicle). Inappropriate …
behaviors of the vehicle in front (also termed the preceding vehicle). Inappropriate …
Knowledge implementation and transfer with an adaptive learning network for real-time power management of the plug-in hybrid vehicle
Essential decision-making tasks such as power management in future vehicles will benefit
from the development of artificial intelligence technology for safe and energy-efficient …
from the development of artificial intelligence technology for safe and energy-efficient …
Transferable representation modelling for real-time energy management of the plug-in hybrid vehicle based on k-fold fuzzy learning and Gaussian process regression
Electric vehicles, including plug-in hybrids, are important for achieving net-zero emission
and will dominate road transportation in the future. Energy management, which optimizes …
and will dominate road transportation in the future. Energy management, which optimizes …
Deep reinforcement learning-based energy-efficient decision-making for autonomous electric vehicle in dynamic traffic environments
Autonomous driving techniques are promising for improving the energy efficiency of
electrified vehicles (EVs) by adjusting driving decisions and optimizing energy requirements …
electrified vehicles (EVs) by adjusting driving decisions and optimizing energy requirements …
Integrated thermal and energy management of connected hybrid electric vehicles using deep reinforcement learning
The climate-adaptive mymargin energy management system (EMS) holds promising
potential for harnessing the concealed energy-saving capabilities of connected plug-in …
potential for harnessing the concealed energy-saving capabilities of connected plug-in …
Hierarchical reinforcement learning based energy management strategy of plug-in hybrid electric vehicle for ecological car-following process
The economy-oriented automated hybrid eclectic vehicles (HEV) provide great potential to
save energy by optimizing both driving behaviors and power distribution. Recent advances …
save energy by optimizing both driving behaviors and power distribution. Recent advances …
Hierarchical control strategies for connected heavy-duty modular fuel cell vehicles via decentralized convex optimization
Fuel cell vehicles (FCVs) are gaining popularity in heavy-duty transportation applications
because of their high efficiency, lack of local emissions, and short refueling time. Moreover …
because of their high efficiency, lack of local emissions, and short refueling time. Moreover …