A review of reinforcement learning based energy management systems for electrified powertrains: Progress, challenge, and potential solution
AH Ganesh, B Xu - Renewable and Sustainable Energy Reviews, 2022 - Elsevier
The impact of internal combustion engine-powered automobiles on climate change due to
emissions and the depletion of fossil fuels has contributed to the progress of electrified …
emissions and the depletion of fossil fuels has contributed to the progress of electrified …
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 …
Adaptive dynamic surface control with disturbance observers for battery/supercapacitor-based hybrid energy sources in electric vehicles
The underlying control in the hybrid energy source system (HESS) of an electric vehicle (EV)
plays a pivotal role. Uncertainty is unavoidable in system modeling owing to variations in …
plays a pivotal role. Uncertainty is unavoidable in system modeling owing to variations in …
A review of second-life lithium-ion batteries for stationary energy storage applications
The large-scale retirement of electric vehicle traction batteries poses a huge challenge to
environmental protection and resource recovery since the batteries are usually replaced …
environmental protection and resource recovery since the batteries are usually replaced …
A novel energy management strategy of hybrid electric vehicle via an improved TD3 deep reinforcement learning
J Zhou, S Xue, Y Xue, Y Liao, J Liu, W Zhao - Energy, 2021 - Elsevier
The formulation of high-efficient energy management strategy (EMS) for hybrid electric
vehicles (HEVs) becomes the most crucial task owing to the variation of electrified …
vehicles (HEVs) becomes the most crucial task owing to the variation of electrified …
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) …
Green Internet of Vehicles (IoV) in the 6G era: Toward sustainable vehicular communications and networking
As one of the most promising applications in future Internet of Things, Internet of Vehicles
(IoV) has been acknowledged as a fundamental technology for developing the Intelligent …
(IoV) has been acknowledged as a fundamental technology for developing the Intelligent …
Energy management strategies for hybrid electric vehicles: Review, classification, comparison, and outlook
Hybrid Electric Vehicles (HEVs) have been proven to be a promising solution to
environmental pollution and fuel savings. The benefit of the solution is generally realized as …
environmental pollution and fuel savings. The benefit of the solution is generally realized as …
Data-driven reinforcement-learning-based hierarchical energy management strategy for fuel cell/battery/ultracapacitor hybrid electric vehicles
H Sun, Z Fu, F Tao, L Zhu, P Si - Journal of Power Sources, 2020 - Elsevier
A reinforcement-learning-based energy management strategy is proposed in this paper for
managing energy system of Fuel Cell Hybrid Electric Vehicles (FCHEV) equipped with three …
managing energy system of Fuel Cell Hybrid Electric Vehicles (FCHEV) equipped with three …
Deep reinforcement learning-based energy management of hybrid battery systems in electric vehicles
In this paper, we propose an energy management strategy based on deep reinforcement
learning for a hybrid battery system in electric vehicles consisting of a high-energy and a …
learning for a hybrid battery system in electric vehicles consisting of a high-energy and a …