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 …

[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 …

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 …

Fuel cell electric vehicles—A brief review of current topologies and energy management strategies

IS Sorlei, N Bizon, P Thounthong, M Varlam… - Energies, 2021 - mdpi.com
With the development of technologies in recent decades and the imposition of international
standards to reduce greenhouse gas emissions, car manufacturers have turned their …

Driving conditions-driven energy management strategies for hybrid electric vehicles: A review

T Liu, W Tan, X Tang, J Zhang, Y Xing, D Cao - Renewable and Sustainable …, 2021 - Elsevier
Motivated by the concerns on transported fuel consumption and global air pollution,
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 …

[HTML][HTML] Towards a future electric ferry using optimisation-based power management strategy in fuel cell and battery vehicle application—A review

M Cha, H Enshaei, H Nguyen… - … and Sustainable Energy …, 2023 - Elsevier
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 …

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 …

Machine learning toward advanced energy storage devices and systems

T Gao, W Lu - Iscience, 2021 - cell.com
Technology advancement demands energy storage devices (ESD) and systems (ESS) with
better performance, longer life, higher reliability, and smarter management strategy …

Approximate cost-optimal energy management of hydrogen electric multiple unit trains using double Q-learning algorithm

Q Li, X Meng, F Gao, G Zhang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
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 …