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 …

[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 …

Online adaptive equivalent consumption minimization strategy for fuel cell hybrid electric vehicle considering power sources degradation

H Li, A Ravey, A N'Diaye, A Djerdir - Energy conversion and management, 2019 - Elsevier
The aim of this paper is to present an on-line adaptive equivalent consumption minimum
strategy (AECMS) for fuel cell hybrid electric vehicle powered by fuel cell, battery and …

Artificial intelligence/machine learning in energy management systems, control, and optimization of hydrogen fuel cell vehicles

M Fayyazi, P Sardar, SI Thomas, R Daghigh, A Jamali… - Sustainability, 2023 - mdpi.com
Environmental emissions, global warming, and energy-related concerns have accelerated
the advancements in conventional vehicles that primarily use internal combustion engines …

Control strategies of different hybrid energy storage systems for electric vehicles applications

AK Podder, O Chakraborty, S Islam, NM Kumar… - IEEE …, 2021 - ieeexplore.ieee.org
Choice of hybrid electric vehicles (HEVs) in transportation systems is becoming more
prominent for optimized energy consumption. HEVs are attaining tremendous appreciation …

Performance analysis of AI-based energy management in electric vehicles: A case study on classic reinforcement learning

J Hu, Y Lin, J Li, Z Hou, L Chu, D Zhao, Q Zhou… - Energy Conversion and …, 2024 - Elsevier
Reinforcement learning-based (RL-based) energy management strategy (EMS) is
considered a promising solution for the energy management of electric vehicles with …

Dynamic emulation of a PEM electrolyzer by time constant based exponential model

D Guilbert, G Vitale - Energies, 2019 - mdpi.com
The main objective of this paper is to develop a dynamic emulator of a proton exchange
membrane (PEM) electrolyzer (EL) through an equivalent electrical model. Experimental …

An intelligent power and energy management system for fuel cell/battery hybrid electric vehicle using reinforcement learning

NP Reddy, D Pasdeloup, MK Zadeh… - … conference and expo …, 2019 - ieeexplore.ieee.org
Hybrid electric vehicles powered by fuel cells and batteries have attracted significant
attention as they have the potential to eliminate emissions from the transport sector …

Investigating the impact of ageing and thermal management of a fuel cell system on energy management strategies

M Kandidayeni, A Macias, L Boulon, S Kelouwani - Applied Energy, 2020 - Elsevier
This paper studies the impact of two significant aspects, namely fuel cell (FC) degradation
and thermal management, over the performance of an optimal and a rule-based energy …

A novel energy efficiency improvement framework based on data-driven learning and energy online decoupling for fuel cell hybrid buses

X Yu, C Lin, P **e, Y Tian, H Liu, Z Cai - Energy Conversion and …, 2023 - Elsevier
Accurate scenarios prediction and effective energy management are crucial for the
automobile industry to achieve electrification and reduce regional carbon emissions …