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 …
Driving conditions-driven energy management strategies for hybrid electric vehicles: A review
Motivated by the concerns on transported fuel consumption and global air pollution,
industrial engineers and academic researchers have made many efforts to construct more …
industrial engineers and academic researchers have made many efforts to construct more …
Battery thermal-and health-constrained energy management for hybrid electric bus based on soft actor-critic DRL algorithm
Energy management is critical to reducing the size and operating cost of hybrid energy
systems, so as to expedite on-the-move electric energy technologies. This article proposes a …
systems, so as to expedite on-the-move electric energy technologies. This article proposes a …
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 …
Real-time predictive energy management of plug-in hybrid electric vehicles for coordination of fuel economy and battery degradation
This paper proposes a real-time predictive energy management strategy (PEMS) of plug-in
hybrid electric vehicles for coordination control of fuel economy and battery lifetime …
hybrid electric vehicles for coordination control of fuel economy and battery lifetime …
Battery-involved energy management for hybrid electric bus based on expert-assistance deep deterministic policy gradient algorithm
Energy management is an enabling technique to guarantee the reliability and economy of
hybrid electric systems. This paper proposes a novel machine learning-based energy …
hybrid electric systems. This paper proposes a novel machine learning-based energy …
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) …
Naturalistic data-driven predictive energy management for plug-in hybrid electric vehicles
A predictive energy management strategy considering travel route information is proposed
to explore the energy-saving potential of plug-in hybrid electric vehicles. The extreme …
to explore the energy-saving potential of plug-in hybrid electric vehicles. The extreme …
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 …