A review on lifetime prediction of proton exchange membrane fuel cells system

Z Hua, Z Zheng, E Pahon, MC Péra, F Gao - Journal of Power Sources, 2022 - Elsevier
The proton exchange membrane fuel cells (PEMFC) system is a promising eco-friendly
power converter device in a wide range of applications, especially in the transportation area …

Progress in prediction of remaining useful life of hydrogen fuel cells based on deep learning

W He, T Liu, W Ming, Z Li, J Du, X Li, X Guo… - … and Sustainable Energy …, 2024 - Elsevier
Hydrogen fuel cells are promising power sources that directly transform the chemical energy
produced by the chemical reaction of hydrogen and oxygen into electrical energy. However …

Short-term performance degradation prediction of a commercial vehicle fuel cell system based on CNN and LSTM hybrid neural network

B Sun, X Liu, J Wang, X Wei, H Yuan, H Dai - International Journal of …, 2023 - Elsevier
Short-term performance degradation prediction is significant for fuel cell system control and
health management. This paper presents a hybrid deep learning method by combining the …

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 …

Emerging technologies in prognostics for fuel cells including direct hydrocarbon fuel cells

S Ong, A Al-Othman, M Tawalbeh - Energy, 2023 - Elsevier
Fuel cells have been regarded as promising power sources for cleaner energy production.
Despite their high theoretical efficiency, fuel cells are still challenged with their durability …

Durability estimation and short-term voltage degradation forecasting of vehicle PEMFC system: Development and evaluation of machine learning models

Z Liu, S Xu, H Zhao, Y Wang - Applied Energy, 2022 - Elsevier
Proton exchange membrane fuel cell (PEMFC) systems are emerging as one of the most
promising solutions for carbon neutrality in transportation, however, durability problem …

Optimization of PEMFC system operating conditions based on neural network and PSO to achieve the best system performance

J Tan, H Hu, S Liu, C Chen, D Xuan - International Journal of Hydrogen …, 2022 - Elsevier
PEMFC system is a complex new clean power system. Based on MATLAB/Simulink, this
paper develops a system-level dynamic model of PEMFC, including the gas supply system …

A new cost-minimizing power-allocating strategy for the hybrid electric bus with fuel cell/battery health-aware control

H He, C Jia, J Li - International Journal of Hydrogen Energy, 2022 - Elsevier
The two primary challenges preventing the commercialization of fuel cell hybrid electric
vehicles (FCHEV) are their high cost and limited lifespan. Improper use usage can could …

Degradation prediction of proton exchange membrane fuel cell using auto-encoder based health indicator and long short-term memory network

K He, Z Liu, Y Sun, L Mao, S Lu - International Journal of Hydrogen Energy, 2022 - Elsevier
As durability of proton exchange membrane fuel cell (PEMFC) remains as the main obstacle
for its larger scale commercialization, predicting PEMFC degradation progress is thus an …

Data-driven prognostics based on time-frequency analysis and symbolic recurrent neural network for fuel cells under dynamic load

C Wang, M Dou, Z Li, R Outbib, D Zhao, J Zuo… - Reliability Engineering & …, 2023 - Elsevier
Data-centric prognostics is beneficial to improve the reliability and safety of proton exchange
membrane fuel cell (PEMFC). For the prognostics of PEMFC operating under dynamic load …