Integrating electric vehicles as virtual power plants: A comprehensive review on vehicle-to-grid (V2G) concepts, interface topologies, marketing and future prospects
Global factors such as energy consumption and environmental issues encourage the
utilization of electric vehicles (EVs) as alternative energy sources besides transportation …
utilization of electric vehicles (EVs) as alternative energy sources besides transportation …
Practical application of energy management strategy for hybrid electric vehicles based on intelligent and connected technologies: Development stages, challenges …
P Dong, J Zhao, X Liu, J Wu, X Xu, Y Liu… - … and Sustainable Energy …, 2022 - Elsevier
The rapid development of intelligent and connected technologies is conducive to the
efficient energy utilization of hybrid electric vehicles (HEVs). However, most energy …
efficient energy utilization of hybrid electric vehicles (HEVs). However, most energy …
State of health prediction of lithium-ion batteries based on machine learning: Advances and perspectives
Accurate state of health (SOH) prediction is significant to guarantee operation safety and
avoid latent failures of lithium-ion batteries. With the development of communication and …
avoid latent failures of lithium-ion batteries. With the development of communication and …
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 …
environmental pollution and energy shortage. Energy management strategy is the core …
Towards health-aware energy management strategies in fuel cell hybrid electric vehicles: A review
An energy management strategy (EMS) is responsible for distributing the power between the
electrochemical power sources of a fuel cell hybrid electric vehicle (FCHEV) with a view to …
electrochemical power sources of a fuel cell hybrid electric vehicle (FCHEV) with a view to …
Spatial–temporal data-driven full driving cycle prediction for optimal energy management of battery/supercapacitor electric vehicles
For multi-energy storage vehicles, the performance of online predictive energy management
strategies largely relies on the length and effective utilization of predictive information. In this …
strategies largely relies on the length and effective utilization of predictive information. In this …
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 …
Energy management strategy for power-split plug-in hybrid electric vehicle based on MPC and double Q-learning
Energy management strategy (EMS) for plug-in hybrid electric vehicle (PHEV) is the key to
improve the energy utilization efficiency and vehicle fuel economy. In this paper, a model …
improve the energy utilization efficiency and vehicle fuel economy. In this paper, a model …
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 …
Energy management for hybrid electric vehicles based on imitation reinforcement learning
An effective energy management strategy (EMS) in hybrid electric vehicles (HEVs) is
indispensable to promote consumption efficiency due to time-varying load conditions …
indispensable to promote consumption efficiency due to time-varying load conditions …