A review and research on fuel cell electric vehicles: Topologies, power electronic converters, energy management methods, technical challenges, marketing and …
The implementations of fuel cells (FCs) in the vehicle industry have gained great attention
for the last few decades owing to simple utilization, silent operation, high efficiency and …
for the last few decades owing to simple utilization, silent operation, high efficiency and …
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 …
Fuel cell-battery hybrid systems for mobility and off-grid applications: A review
The global demand for fossil fuels in the transportation sector is increasing rapidly due to the
continuous growth of internal combustion engine vehicles. This leads to severe …
continuous growth of internal combustion engine vehicles. This leads to severe …
Longevity-conscious energy management strategy of fuel cell hybrid electric Vehicle Based on deep reinforcement learning
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 …
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 …
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) …
A review of multi-energy hybrid power system for ships
In the face of increasingly severe energy shortage and environmental pollution, the use of
new forms of energy will become an important direction for the future development of ships …
new forms of energy will become an important direction for the future development of ships …
Noise and vibration suppression in hybrid electric vehicles: State of the art and challenges
The need for more efficient and renewable means of transport makes the development of
hybrid electric vehicles (HEVs) an important topic for both automobile manufacturers and …
hybrid electric vehicles (HEVs) an important topic for both automobile manufacturers and …
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 …
Double deep reinforcement learning-based energy management for a parallel hybrid electric vehicle with engine start–stop strategy
Committed to optimizing the fuel economy of hybrid electric vehicles (HEVs), improving the
working conditions of the engine, and promoting research on deep reinforcement learning …
working conditions of the engine, and promoting research on deep reinforcement learning …