Optimal Energy Management of Plug-in Hybrid Electric Vehicles Through Ensemble Reinforcement Learning With Exploration-to-Exploitation Ratio Control
B Shuai, M Hua, Y Li, S Shuai, H Xu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Reinforcement learning (RL) has demonstrated its advantages in the intelligent control of
many vehicle systems. However, controlling the exploration-to-exploitation (E2E) ratio of RL …
many vehicle systems. However, controlling the exploration-to-exploitation (E2E) ratio of RL …
Optimal energy management of plug-in hybrid vehicles through exploration-to-exploitation ratio control in ensemble reinforcement learning
Developing intelligent energy management systems with high adaptability and superiority is
necessary and significant for Hybrid Electric Vehicles (HEVs). This paper proposed an …
necessary and significant for Hybrid Electric Vehicles (HEVs). This paper proposed an …
Energy management for a hybrid electric vehicle based on blended reinforcement learning with backward focusing and prioritized sweeping
N Yang, L Han, C Xiang, H Liu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
As a fundamental task of hybrid electric vehicles (HEVs), energy management strategies are
critical for improving the performance. This paper proposes a new queue-Dyna …
critical for improving the performance. This paper proposes a new queue-Dyna …
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 …
Battery life constrained real-time energy management strategy for hybrid electric vehicles based on reinforcement learning
L Han, K Yang, T Ma, N Yang, H Liu, L Guo - Energy, 2022 - Elsevier
Hybrid electric vehicles (HEVs) bridge the gap between internal combustion engine vehicles
and pure electric vehicles, and are therefore regarded as a promising solution to the energy …
and pure electric vehicles, and are therefore regarded as a promising solution to the energy …
Cooperative energy management and eco-driving of plug-in hybrid electric vehicle via multi-agent reinforcement learning
The advanced cruise control system has expanded the energy-saving potential of the hybrid
electric vehicle (HEV). Despite this, most energy-saving researches for HEV either only …
electric vehicle (HEV). Despite this, most energy-saving researches for HEV either only …
Deep reinforcement learning based PHEV energy management with co-recognition for traffic condition and driving style
N Cui, W Cui, Y Shi - IEEE Transactions on Intelligent Vehicles, 2023 - ieeexplore.ieee.org
As one of the key technologies of plug-in hybrid electric vehicle (PHEV), the energy
management strategy (EMS) is interactively influenced by driving style, traffic condition as …
management strategy (EMS) is interactively influenced by driving style, traffic condition as …
Data-driven reinforcement learning–based real-time energy management system for plug-in hybrid electric vehicles
Plug-in hybrid electric vehicles (PHEVs) show great promise in reducing transportation-
related fossil fuel consumption and greenhouse gas emissions. Designing an efficient …
related fossil fuel consumption and greenhouse gas emissions. Designing an efficient …
[HTML][HTML] Extended-deep Q-network: A functional reinforcement learning-based energy management strategy for plug-in hybrid electric vehicles
A Mousa - Engineering Science and Technology, an International …, 2023 - Elsevier
Abstract Plug-in Hybrid Electric Vehicles offer a promising solution for the increasing CO 2
emission problem. However, the improved economy strongly depends on the energy …
emission problem. However, the improved economy strongly depends on the energy …
A deployment-efficient energy management strategy for connected hybrid electric vehicle based on offline reinforcement learning
B Hu, J Li - IEEE Transactions on Industrial Electronics, 2021 - ieeexplore.ieee.org
With the development of recent artificial intelligence technology, especially after the great
success of AlphaGo, there has been a growing interest in applying reinforcement learning …
success of AlphaGo, there has been a growing interest in applying reinforcement learning …