Water electrolyzer operation scheduling for green hydrogen production: A review

J Wang, J Wen, J Wang, B Yang, L Jiang - Renewable and Sustainable …, 2024 - Elsevier
Green hydrogen, produced through splitting water by water electrolyzers using renewable
electricity, emerges as a clean and sustainable energy solution to reduce carbon emissions …

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 …

The effect of components capacity loss on the performance of a hybrid PV/wind/battery/hydrogen stand-alone energy system

J Šimunović, G Radica, F Barbir - Energy conversion and management, 2023 - Elsevier
A stand-alone hybrid renewable energy system (HRES) comprising a photovoltaic (PV)
array and a small wind turbine for energy production, a lead-acid battery for short-term …

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 …

Fuel cell life prediction considering the recovery phenomenon of reversible voltage loss

X Meng, C Sun, J Mei, X Tang, HM Hasanien… - Journal of Power …, 2025 - Elsevier
A major limiting factor for the commercialization of proton exchange membrane fuel cells is
their short lifespan. Prognostic and health management technology predicts performance …

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 …

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 …

[HTML][HTML] Deep learning-based state-of-health estimation of proton-exchange membrane fuel cells under dynamic operation conditions

Y Zhang, X Tang, S Xu, C Sun - Sensors, 2024 - mdpi.com
Proton-exchange membrane fuel cells (PEMFCs) play a crucial role in the transition to
sustainable energy systems. Accurately estimating the state of health (SOH) of PEMFCs …

A degradation empirical-model-free battery end-of-life prediction framework based on gaussian process regression and Kalman filter

J Meng, M Yue, D Diallo - IEEE Transactions on Transportation …, 2022 - ieeexplore.ieee.org
Predicting the battery's end-of-life (EOL) with uncertainty quantification is critical for ensuring
system safety and reliability. This article presents a hybrid framework for battery EOL …

Dynamic inconsistent analysis and diagnosis of abnormal cells within a high-power fuel cell stack

L Zhao, J Hong, H Yuan, P Ming, X Wei, H Dai - Electrochimica Acta, 2023 - Elsevier
The abnormal cells within a fuel cell stack can reduce the stack's lifetime and reliability due
to the" barrel" effect. In this paper, the dynamic inconsistency of a 20-kW fuel cell stack with …