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 …
[HTML][HTML] Applications of reinforcement learning in energy systems
ATD Perera, P Kamalaruban - Renewable and Sustainable Energy …, 2021 - Elsevier
Energy systems undergo major transitions to facilitate the large-scale penetration of
renewable energy technologies and improve efficiencies, leading to the integration of many …
renewable energy technologies and improve efficiencies, leading to the integration of many …
Energy management strategies for fuel cell hybrid electric vehicles: Classification, comparison, and outlook
X Zhao, L Wang, Y Zhou, B Pan, R Wang… - Energy Conversion and …, 2022 - Elsevier
The fuel cell hybrid electric vehicle (FCHEV) with a fusion of multiple energy sources can
make up for the shortcomings of the pure fuel cell vehicle. Nevertheless, multiple energy …
make up for the shortcomings of the pure fuel cell vehicle. Nevertheless, multiple energy …
Fuel cell electric vehicles—A brief review of current topologies and energy management strategies
With the development of technologies in recent decades and the imposition of international
standards to reduce greenhouse gas emissions, car manufacturers have turned their …
standards to reduce greenhouse gas emissions, car manufacturers have turned their …
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 …
Longevity-conscious energy management strategy of fuel cell hybrid electric Vehicle Based on deep reinforcement learning
X Tang, H Zhou, F Wang, W Wang, X Lin - Energy, 2022 - Elsevier
Deep reinforcement learning-based energy management strategy play an essential role in
improving fuel economy and extending fuel cell lifetime for fuel cell hybrid electric vehicles …
improving fuel economy and extending fuel cell lifetime for fuel cell hybrid electric vehicles …
[HTML][HTML] Towards a future electric ferry using optimisation-based power management strategy in fuel cell and battery vehicle application—A review
The growing need to alleviate the environmental impact of fossil fuels demands further
technical growth in fuel cell hybrid electric vehicles (FCHEVs). Due to the dynamic nature of …
technical growth in fuel cell hybrid electric vehicles (FCHEVs). Due to the dynamic nature of …
Reinforcement learning based energy management systems and hydrogen refuelling stations for fuel cell electric vehicles: An overview
R Venkatasatish, C Dhanamjayulu - International Journal of Hydrogen …, 2022 - Elsevier
This paper examines the current state of the art of hydrogen refuelling stations-based
production and storage systems for fuel cell hybrid electric vehicles (FCHEV). Nowadays …
production and storage systems for fuel cell hybrid electric vehicles (FCHEV). Nowadays …
Approximate cost-optimal energy management of hydrogen electric multiple unit trains using double Q-learning algorithm
Energy management strategy (EMS) is the key to the performance of fuel cell/battery hybrid
system. At present, reinforcement learning (RL) has been introduced into this field and has …
system. At present, reinforcement learning (RL) has been introduced into this field and has …