[HTML][HTML] 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 …

A review on mode conversion: Dynamic response of unitised regenerative proton exchange membrane fuel cell

AAD Shahril, MS Masdar, EH Majlan, BH Lim - International Journal of …, 2023 - Elsevier
A unitised regenerative proton exchange membrane fuel cell (URPEMFC) is capable of
performing the functions of both discrete fuel cells and water electrolysers in one unitised …

Current density and temperature distribution measurement and homogeneity analysis for a large-area proton exchange membrane fuel cell

T Miao, C Tongsh, J Wang, P Cheng, J Liang, Z Wang… - Energy, 2022 - Elsevier
Homogeneous distribution of electro-chemical reaction rates among the activation surface is
critical for improving the performance and durability of automotive proton exchange …

Feedback linearization-based MIMO model predictive control with defined pseudo-reference for hydrogen regulation of automotive fuel cells

S Quan, YX Wang, X Xiao, H He, F Sun - Applied Energy, 2021 - Elsevier
Proton exchange membrane fuel cells (PEMFCs) possess the benefits of high conversion
efficiency, low operation noise and no pollution which are considered as potential power …

Modeling analysis of polymer electrolyte membrane fuel cell with regard to oxygen and charge transport under operating conditions and hydrophobic porous electrode …

N Wang, Z Qu, G Zhang - ETransportation, 2022 - Elsevier
Increasing the power density of polymer electrolyte membrane fuel cells (PEMFCs) is vital
for their commercial application but requires detailed knowledge of the charge, oxygen, and …

[HTML][HTML] Experimental investigation of anion exchange membrane water electrolysis for a tubular microbial electrosynthesis cell design

Z Chen, AG Rodriguez, P Nunez, D van Houtven… - Catalysis …, 2022 - Elsevier
Tubular water splitting electrolyzer was adapted to neutral pH conditions for the in-situ H 2
supplying microbial electrosynthesis design. The electrolyzer was optimized to reduce …

Multiscale modeling of proton exchange membrane fuel cells by coupling pore-scale models of the catalyst layers and cell-scale models

R Zhang, P He, F Bai, L Chen… - International Journal of …, 2021 - Taylor & Francis
Numerical models that accurately describe the nano/microscale transport phenomena in the
proton exchange membrane fuel cells (PEMFC) are highly required. In this study, a …

Control-oriented extraction and prediction of key performance features affecting performance variability of solid oxide fuel cell system

J Peng, J Huang, Y Li, YW Xu, XL Wu… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Performance prediction technology enhances the dependability and safety of solid oxide
fuel cell (SOFC) systems. However, unreasonable prediction objects and insufficient …

Sensitivity analysis of current distribution to critical operating parameters for polymer electrolyte membrane fuel cells

X Liu, J Chen, L Jin, S Liu - Journal of Power Sources, 2023 - Elsevier
Suitable operating parameters can not only improve the uniformity of current distribution, but
also extend the lifetime of fuel cells. Existing studies of critical operating parameters on the …

A new insight into the effects of agglomerate parameters on internal dynamics of proton exchange membrane fuel cell by an advanced impedance dimension model

H Yuan, H Dai, P Ming, S Li, X Wei - Energy, 2022 - Elsevier
The oxygen reduction reaction with a relatively slow reaction rate is critical for proton
exchange membrane (PEM) fuel cell performance. At present, a substantial part of the …