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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 …
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 …
Deep reinforcement learning based energy management strategies for electrified vehicles: Recent advances and perspectives
Electrified vehicles provide an effective solution to address the unfavorable impacts of fossil
fuel use in the transportation sector. Energy management strategy (EMS) is the core …
fuel use in the transportation sector. Energy management strategy (EMS) is the core …
Multi-period, multi-timescale stochastic optimization model for simultaneous capacity investment and energy management decisions for hybrid Micro-Grids with green …
Given the steep rises in renewable energy's proportion in the global energy mix expected
over several decades, a systematic way to plan the long-term deployment is needed. The …
over several decades, a systematic way to plan the long-term deployment is needed. The …
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 …
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) …
Battery health-aware and naturalistic data-driven energy management for hybrid electric bus based on TD3 deep reinforcement learning algorithm
Energy management is critical to reduce energy consumption and extend the service life of
hybrid power systems. This article proposes an energy management strategy based on …
hybrid power systems. This article proposes an energy management strategy based on …
Overview of energy harvesting and emission reduction technologies in hybrid electric vehicles
Hybrid electric vehicles (HEVs) have been developed extensively thanks to the inherent
merits of both internal combustion engine vehicles (ICEVs) and battery electric vehicles …
merits of both internal combustion engine vehicles (ICEVs) and battery electric vehicles …
Twin delayed deep deterministic policy gradient-based deep reinforcement learning for energy management of fuel cell vehicle integrating durability information of …
Deep reinforcement learning (DRL)-based energy management strategy (EMS) is attractive
for fuel cell vehicle (FCV). Nevertheless, the fuel economy and lifespan durability of proton …
for fuel cell vehicle (FCV). Nevertheless, the fuel economy and lifespan durability of proton …
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 …