A systematic review of machine learning methods applied to fuel cells in performance evaluation, durability prediction, and application monitoring

W Ming, P Sun, Z Zhang, W Qiu, J Du, X Li… - International Journal of …, 2023 - Elsevier
A fuel cell is a power generation device that directly converts chemical energy into electrical
energy through chemical reactions; fuel cells are widely used in aerospace, electric vehicle …

A health management review of proton exchange membrane fuel cell for electric vehicles: Failure mechanisms, diagnosis techniques and mitigation measures

C Zhang, Y Zhang, L Wang, X Deng, Y Liu… - … and Sustainable Energy …, 2023 - Elsevier
Hydrogen-fed proton exchange membrane fuel cell (PEMFC) have been widely explored
and applied as the power units in the electric vehicles. However, their life-span under the …

Review on water management methods for proton exchange membrane fuel cells

XR Wang, Y Ma, J Gao, T Li, GZ Jiang… - International Journal of …, 2021 - Elsevier
Control of water content of proton exchange membrane fuel cells (PEMFCs) within a
reasonable rangeis a question worthy of study. This paper addresses questions of water …

Energy efficiency improvements by investigating the water flooding management on proton exchange membrane fuel cell (PEMFC)

OS Ijaodola, Z El-Hassan, E Ogungbemi, FN Khatib… - Energy, 2019 - Elsevier
This paper presents a broad study of research work associated with the effect of water
flooding and management in Proton Exchange Membrane Fuel Cells (PEMFC) which …

[图书][B] Artificial neural network architectures and training processes

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[HTML][HTML] System identification of PEM fuel cells using an improved Elman neural network and a new hybrid optimization algorithm

D Yu, Y Wang, H Liu, K Jermsittiparsert, N Razmjooy - Energy Reports, 2019 - Elsevier
Parameter identification of the proton exchange membrane fuel cell (PEMFC) is a good way
of increasing their efficiency in the next designs. In this study, an optimized improved Elman …

A review on proton exchange membrane multi-stack fuel cell systems: architecture, performance, and power management

S Zhou, L Fan, G Zhang, J Gao, Y Lu, P Zhao, C Wen… - Applied Energy, 2022 - Elsevier
To achieve carbon emission reduction and energy structure upgrading, the proton exchange
membrane (PEM) multi-stack fuel cell system (MFCS) is an option to meet high-power …

A review of DC/DC converter-based electrochemical impedance spectroscopy for fuel cell electric vehicles

H Wang, A Gaillard, D Hissel - Renewable Energy, 2019 - Elsevier
Considering transport applications, there is worldwide an increasing interest in the use of
hydrogen-energy for supplying electric powertrains. In order to extend the fuel cell lifespan …

Predicting glass transition temperatures using neural networks

DR Cassar, AC de Carvalho, ED Zanotto - Acta Materialia, 2018 - Elsevier
The glass transition temperature (T g) is a kinetic property of major importance for both
fundamental and applied glass science. In this study, we designed and trained an artificial …

A review on model-based diagnosis methodologies for PEMFCs

R Petrone, Z Zheng, D Hissel, MC Péra… - International Journal of …, 2013 - Elsevier
The proton exchange membrane fuel cell systems (PEMFC) s are interesting devices for
energy conversion. Recent researches are aimed at developing new monitoring and …