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 …
Intelligent learning algorithm and intelligent transportation-based energy management strategies for hybrid electric vehicles: A review
As one of the alternatives to conventional fuel vehicles, hybrid electric vehicles (HEV) offer
lower fuel consumption and fewer exhaust emissions. To improve the performance of the …
lower fuel consumption and fewer exhaust emissions. To improve the performance of the …
Energy management strategy for battery/supercapacitor hybrid electric city bus based on driving pattern recognition
The rapid development of cloud techniques like Vehicle-to-Cloud (V2C) makes it possible to
gather more information and develop computationally efficient energy management systems …
gather more information and develop computationally efficient energy management systems …
Reinforcement learning-based real-time intelligent energy management for hybrid electric vehicles in a model predictive control framework
N Yang, S Ruan, L Han, H Liu, L Guo, C **ang - Energy, 2023 - Elsevier
This paper proposes a real-time energy management strategy (EMS) for hybrid electric
vehicles by incorporating reinforcement learning (RL) in a model predictive control (MPC) …
vehicles by incorporating reinforcement learning (RL) in a model predictive control (MPC) …
Energy consumption and battery aging minimization using a Q-learning strategy for a battery/ultracapacitor electric vehicle
Propulsion system electrification revolution has been undergoing in the automotive industry.
The electrified propulsion system improves energy efficiency and reduces the dependence …
The electrified propulsion system improves energy efficiency and reduces the dependence …
Energy management optimization for connected hybrid electric vehicle using offline reinforcement learning
H He, Z Niu, Y Wang, R Huang, Y Shou - Journal of Energy Storage, 2023 - Elsevier
Energy management strategy (EMS) is critical to ensure the long-term energy economy of
hybrid electric vehicles. The classical deep reinforcement learning algorithms exist many …
hybrid electric vehicles. The classical deep reinforcement learning algorithms exist many …
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 …
Deep learning-based prediction of lithium-ion batteries state of charge for electric vehicles in standard driving cycle
Significant climatic shifts occurred during this period, resulting in threatening consequences
for people's lives and industries. Global warming is one of the most serious consequences of …
for people's lives and industries. Global warming is one of the most serious consequences of …
Q-learning-based supervisory control adaptability investigation for hybrid electric vehicles
As one of adaptive optimal controls, the Q-learning based supervisory control for hybrid
electric vehicle (HEV) energy management is rarely studied for its adaptability. In real-world …
electric vehicle (HEV) energy management is rarely studied for its adaptability. In real-world …
Performance assessment of fuel cell and electric vehicles taking into account the fuel cell degradation, battery lifetime, and heating, ventilation, and air conditioning …
S Mansour, M Raeesi - International Journal of Hydrogen Energy, 2024 - Elsevier
In this study, fuel cell vehicles (FCVs) and electric vehicles (EVs) are considered for energy,
ie, hydrogen and electricity, consumption in varying working conditions, taking into account …
ie, hydrogen and electricity, consumption in varying working conditions, taking into account …