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 …
[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 …
Online adaptive equivalent consumption minimization strategy for fuel cell hybrid electric vehicle considering power sources degradation
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 …
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
Environmental emissions, global warming, and energy-related concerns have accelerated
the advancements in conventional vehicles that primarily use internal combustion engines …
the advancements in conventional vehicles that primarily use internal combustion engines …
Control strategies of different hybrid energy storage systems for electric vehicles applications
Choice of hybrid electric vehicles (HEVs) in transportation systems is becoming more
prominent for optimized energy consumption. HEVs are attaining tremendous appreciation …
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
Reinforcement learning-based (RL-based) energy management strategy (EMS) is
considered a promising solution for the energy management of electric vehicles with …
considered a promising solution for the energy management of electric vehicles with …
Dynamic emulation of a PEM electrolyzer by time constant based exponential model
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 …
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
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 …
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
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 …
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 …
automobile industry to achieve electrification and reduce regional carbon emissions …