[HTML][HTML] Energy management strategies of connected HEVs and PHEVs: Recent progress and outlook

F Zhang, X Hu, R Langari, D Cao - Progress in Energy and Combustion …, 2019 - Elsevier
The rapid development of intelligent transportation system (ITS) offers great opportunities to
improve the overall performance of energy management strategies (EMSs) for connected …

Energy management in plug-in hybrid electric vehicles: Recent progress and a connected vehicles perspective

CM Martinez, X Hu, D Cao, E Velenis… - IEEE Transactions …, 2016 - ieeexplore.ieee.org
Plug-in hybrid electric vehicles (PHEVs) offer an immediate solution for emissions reduction
and fuel displacement within the current infrastructure. Targeting PHEV powertrain …

Distributed deep reinforcement learning-based energy and emission management strategy for hybrid electric vehicles

X Tang, J Chen, T Liu, Y Qin… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Advanced algorithms can promote the development of energy management strategies
(EMSs) as a key technology in hybrid electric vehicles (HEVs). Reinforcement learning (RL) …

Hybrid electric vehicles: A review of energy management strategies based on model predictive control

X Lü, S Li, XH He, C Xie, S He, Y Xu, J Fang… - Journal of Energy …, 2022 - Elsevier
At present, hybrid electric vehicles are regarded as an effective way to solve global
environmental pollution and energy shortage. Energy management strategy is the core …

Naturalistic data-driven predictive energy management for plug-in hybrid electric vehicles

X Tang, T Jia, X Hu, Y Huang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
A predictive energy management strategy considering travel route information is proposed
to explore the energy-saving potential of plug-in hybrid electric vehicles. The extreme …

Fuel economy-oriented vehicle platoon control using economic model predictive control

M Hu, C Li, Y Bian, H Zhang, Z Qin… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Vehicle platoon control based on vehicle-to-vehicle (V2V) communication is one of the
promising technologies to improve the performance of transportation systems. This paper …

A survey on driving prediction techniques for predictive energy management of plug-in hybrid electric vehicles

Y Zhou, A Ravey, MC Péra - Journal of Power Sources, 2019 - Elsevier
Driving prediction techniques (DPTs) are used to forecast the distributions of various future
driving conditions (FDC), like velocity, acceleration, driver behaviors etc. and the quality of …

Co-optimization of velocity planning and energy management for autonomous plug-in hybrid electric vehicles in urban driving scenarios

Z Chen, S Wu, S Shen, Y Liu, F Guo, Y Zhang - Energy, 2023 - Elsevier
Co-optimization of vehicle velocity planning and powertrain control for plug-in hybrid electric
vehicle (PHEV) can lead to an optimal energy saving with the help of vehicle-to …

How to assess the benefits of connected vehicles? A simulation framework for the design of cooperative traffic management strategies

M Guériau, R Billot, NE El Faouzi, J Monteil… - … research part C …, 2016 - Elsevier
Abstract Advances in Information and Communication Technologies (ICT) allow the
transportation community to foresee dramatic improvements for the incoming years in terms …

Predictive vehicle-following power management for plug-in hybrid electric vehicles

S Xie, X Hu, T Liu, S Qi, K Lang, H Li - Energy, 2019 - Elsevier
This paper presents a new integrated model predictive control (IMPC) method that combines
power management and adaptive velocity control during vehicle-following scenarios in …