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 …
A novel blended real-time energy management strategy for plug-in hybrid electric vehicle commute trips
Plug-in hybrid electric vehicles (PHEVs) show great promise in reducing transportation-
related fossil fuel consumption and greenhouse gas emissions. A critical research topic for …
related fossil fuel consumption and greenhouse gas emissions. A critical research topic for …
Intelligent energy management for hybrid electric tracked vehicles using online reinforcement learning
G Du, Y Zou, X Zhang, Z Kong, J Wu, D He - Applied Energy, 2019 - Elsevier
The energy management approach of hybrid electric vehicles has the potential to overcome
the increasing energy crisis and environmental pollution by reducing the fuel consumption …
the increasing energy crisis and environmental pollution by reducing the fuel consumption …
Reinforcement learning for hybrid and plug-in hybrid electric vehicle energy management: Recent advances and prospects
Energy management is a critical technology in plug-in hybrid-electric vehicles (PHEVs) for
maximizing efficiency, fuel economy, and range, as well as reducing pollutant emissions. At …
maximizing efficiency, fuel economy, and range, as well as reducing pollutant emissions. At …
Deep reinforcement learning-based vehicle energy efficiency autonomous learning system
To mitigate air pollution problems and reduce greenhouse gas emissions (GHG), plug-in
hybrid electric vehicles (PHEV) have been developed to achieve higher fuel efficiency. The …
hybrid electric vehicles (PHEV) have been developed to achieve higher fuel efficiency. The …
A hierarchical energy management strategy based on model predictive control for plug-in hybrid electric vehicles
This paper presents a prescient energy management strategy based on the model predictive
control (MPC) for the parallel plug-in hybrid electric vehicles (PHEVs). In this hierarchical …
control (MPC) for the parallel plug-in hybrid electric vehicles (PHEVs). In this hierarchical …
A heuristic planning reinforcement learning-based energy management for power-split plug-in hybrid electric vehicles
This paper proposes a heuristic planning energy management controller, based on a Dyna
agent of reinforcement learning (RL) approach, for real-time fuel saving optimization of a …
agent of reinforcement learning (RL) approach, for real-time fuel saving optimization of a …
Development and evaluation of an evolutionary algorithm-based online energy management system for plug-in hybrid electric vehicles
Plug-in hybrid electric vehicles (PHEVs) have been regarded as one of several promising
countermeasures to transportation-related energy use and air quality issues. Compared with …
countermeasures to transportation-related energy use and air quality issues. Compared with …
Performance analysis of AI-based energy management in electric vehicles: A case study on classic reinforcement learning
Reinforcement learning-based (RL-based) energy management strategy (EMS) is
considered a promising solution for the energy management of electric vehicles with …
considered a promising solution for the energy management of electric vehicles with …
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 …
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