State-of-charge estimation and remaining useful life prediction of supercapacitors
As a new type of energy storage device, supercapacitors are widely applied in various fields
owing to their irreplaceable extraordinary characteristics. The remaining useful life …
owing to their irreplaceable extraordinary characteristics. The remaining useful life …
High robustness energy management strategy of hybrid electric vehicle based on improved soft actor-critic deep reinforcement learning
As a hybrid electric vehicle (HEV) key control technology, intelligent energy management
strategies (EMSs) directly affect fuel consumption. Investigating the robustness of EMSs to …
strategies (EMSs) directly affect fuel consumption. Investigating the robustness of EMSs to …
An energy management strategy for plug-in hybrid electric vehicles based on deep learning and improved model predictive control
X Sun, J Fu, H Yang, M Xie, J Liu - Energy, 2023 - Elsevier
In order to reasonably allocate the power needs and manage the energy of the plug-in
hybrid electric vehicle (PHEV) more efficiently, an energy management strategy (EMS) …
hybrid electric vehicle (PHEV) more efficiently, an energy management strategy (EMS) …
Distributed deep reinforcement learning-based energy and emission management strategy for hybrid electric vehicles
Advanced algorithms can promote the development of energy management strategies
(EMSs) as a key technology in hybrid electric vehicles (HEVs). Reinforcement learning (RL) …
(EMSs) as a key technology in hybrid electric vehicles (HEVs). Reinforcement learning (RL) …
Naturalistic data-driven predictive energy management for plug-in hybrid electric vehicles
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 …
to explore the energy-saving potential of plug-in hybrid electric vehicles. The extreme …
Comparative study on fuel saving potential of series-parallel hybrid transmission and series hybrid transmission
X Xu, J Zhao, J Zhao, K Shi, P Dong, S Wang… - Energy Conversion and …, 2022 - Elsevier
The series hybrid transmission (SHT) and series-parallel hybrid transmission (SPHT) have
become an important development direction in the field of hybrid electric vehicles (HEVs) in …
become an important development direction in the field of hybrid electric vehicles (HEVs) in …
Double deep reinforcement learning-based energy management for a parallel hybrid electric vehicle with engine start–stop strategy
Committed to optimizing the fuel economy of hybrid electric vehicles (HEVs), improving the
working conditions of the engine, and promoting research on deep reinforcement learning …
working conditions of the engine, and promoting research on deep reinforcement learning …
Predictive energy management for plug-in hybrid electric vehicles considering electric motor thermal dynamics
Energy management is essential for improving the fuel economy of plug-in hybrid electric
vehicles (PHEVs). Some existing efforts have focused on optimizing fuel consumption and …
vehicles (PHEVs). Some existing efforts have focused on optimizing fuel consumption and …
Health-conscious predictive energy management strategy with hybrid speed predictor for plug-in hybrid electric vehicles: Investigating the impact of battery electro …
Improving plug-in hybrid electric vehicles (PHEVs) fuel economy requires a proper energy
management strategy (EMS). Efforts to enhance the energy-saving performance of …
management strategy (EMS). Efforts to enhance the energy-saving performance of …
Modeling and energy dynamic control for a ZEH via hybrid model-based deep reinforcement learning
Efficient and flexible energy management strategy can play an important role in energy
conservation in building sector. The model-free reinforcement learning control of building …
conservation in building sector. The model-free reinforcement learning control of building …