A review on recent advances on improving fuel economy and performance of a fuel cell hybrid electric vehicle

H Togun, HSS Aljibori, AM Abed, N Biswas… - International Journal of …, 2024 - Elsevier
Fuel cell hybrid electric vehicles (FCHEVs) are gaining recognition as a pivotal innovation in
the quest for sustainable transportation, seamlessly blending the advantages of fuel cells …

[HTML][HTML] Fuel cell-based hybrid electric vehicles: An integrated review of current status, key challenges, recommended policies, and future prospects

M Waseem, M Amir, GS Lakshmi… - Green Energy and …, 2023 - Elsevier
Battery electric vehicles (BEVs) and fuel cell electric vehicles (FCEVs), whose exhaust pipes
emit nothing, are examples of zero-emission automobiles. FCEVs should be considered an …

[HTML][HTML] Aging-aware optimal power management control and component sizing of a fuel cell hybrid electric vehicle powertrain

SF da Silva, JJ Eckert, FL Silva, FC Corrêa… - Energy Conversion and …, 2023 - Elsevier
The current study presents a comprehensive approach for optimizing the power distribution
control and design of a Fuel Cell Hybrid Electric Vehicle (FCHEV) equipped with a Battery …

Design of a novel fully-active PEMFC-Lithium battery hybrid power system based on two automatic ON/OFF switches for unmanned aerial vehicle applications

C **ao, B Wang, C Wang, Y Yan - Energy Conversion and Management, 2023 - Elsevier
High-performance unmanned aerial vehicles (UAVs) have become increasingly popular in
applications across industrial inspection, forest patrol, and aerial photography. For high …

Health-considered energy management strategy for fuel cell hybrid electric vehicle based on improved soft actor critic algorithm adopted with Beta policy

W Chen, J Peng, J Chen, J Zhou, Z Wei… - Energy Conversion and …, 2023 - Elsevier
Deep reinforcement learning-based energy management strategy (EMS) is essential for fuel
cell hybrid electric vehicles to reduce hydrogen consumption, improve health performance …

Comprehensive optimization of fuzzy logic-based energy management system for fuel-cell hybrid electric vehicle using genetic algorithm

A Mazouzi, N Hadroug, W Alayed, A Hafaifa… - International Journal of …, 2024 - Elsevier
This article presents a comprehensive optimization approach for a fuzzy logic-based energy
management system (EMS) designed for a fuel cell hybrid electric vehicle (FCHEV) powered …

Investigation of drive cycle simulation performance for electric, hybrid, and fuel cell powertrains of a small-sized vehicle

E Alpaslan, MU Karaoğlan, CO Colpan - International Journal of Hydrogen …, 2023 - Elsevier
The powertrain simulations of electric, hybrid, and fuel cell hybrid vehicles for the
determination of vehicle performance and powertrain efficiency have been studied in the last …

Adaptive energy management strategy for FCHEV based on improved proximal policy optimization in deep reinforcement learning algorithm

X Lü, S Qian, XR Zhai, P Wang, T Wu - Energy Conversion and …, 2024 - Elsevier
In order to reduce hydrogen consumption, relieve degradation of fuel cells, and improve the
operational efficiency of fuel cell hybrid electric vehicles, an energy management strategy is …

State-of-power estimation for lithium-ion batteries based on a frequency-dependent integer-order model

X Lai, M Yuan, X Tang, Y Zheng, J Zhu, Y Sun… - Journal of Power …, 2024 - Elsevier
Power capability of lithium-ion batteries is strongly correlated with electric vehicle's
accelerating and braking performance. However, the estimate of state-of-power relies highly …

Energy management strategies, control systems, and artificial intelligence-based algorithms development for hydrogen fuel cell-powered vehicles: A review

TL Oladosu, J Pasupuleti, TS Kiong, SPJ Koh… - International Journal of …, 2024 - Elsevier
Hydrogen fuel cell electric vehicles (HFCEVs) are gaining revived attention due to the
HFCEVs promising potential as important syndicates to net zero carbon emission …