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 …

Energy management of hybrid electric vehicles: A review of energy optimization of fuel cell hybrid power system based on genetic algorithm

X Lü, Y Wu, J Lian, Y Zhang, C Chen, P Wang… - Energy Conversion and …, 2020 - Elsevier
Under the background of current environmental pollution and serious shortage of fossil
energy, the development of electric vehicles driven by clean new energy is the key to solve …

State of health estimation of lithium-ion battery based on improved ant lion optimization and support vector regression

Q Li, D Li, K Zhao, L Wang, K Wang - Journal of Energy Storage, 2022 - Elsevier
The state of health (SOH) estimation plays an important role in kee** the safe and stable
operation of lithium-ion battery management system (BMS). To solve the problem of low …

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 …

A data-driven digital-twin prognostics method for proton exchange membrane fuel cell remaining useful life prediction

S Meraghni, LS Terrissa, M Yue, J Ma, S Jemei… - International journal of …, 2021 - Elsevier
Prognostics and health management of proton exchange membrane fuel cell (PEMFC)
systems have driven increasing research attention in recent years as the durability of …

Prognostics methods and degradation indexes of proton exchange membrane fuel cells: A review

H Liu, J Chen, D Hissel, J Lu, M Hou, Z Shao - Renewable and Sustainable …, 2020 - Elsevier
Prognostics is a promising solution to the short lifetime and high-cost bottlenecks of proton
exchange membrane fuel cells (PEMFCs). The advances of PEMFCs prognostics research …

A performance degradation prediction model for PEMFC based on bi-directional long short-term memory and multi-head self-attention mechanism

C Jia, H He, J Zhou, K Li, J Li, Z Wei - International Journal of Hydrogen …, 2024 - Elsevier
Proton exchange membrane fuel cell (PEMFC) is a highly promising renewable energy
conversion technology. However, durability issues have hindered their large-scale …

Proton exchange membrane fuel cell system prognostics and decision-making: Current status and perspectives

M Yue, S Jemei, N Zerhouni, R Gouriveau - Renewable Energy, 2021 - Elsevier
Proton exchange membrane fuel cell (PEMFC), as an attractive alternative power source,
has seen its increasing deployment in both automotive and small stationary applications. To …

Performance degradation prediction of proton exchange membrane fuel cell using a hybrid prognostic approach

R Pan, D Yang, Y Wang, Z Chen - International Journal of Hydrogen Energy, 2020 - Elsevier
The proton exchange membrane fuel cell has been widely used for industrial systems;
however, its performance gradually degrades during use. Therefore, the study on the …

Degradation prediction of proton exchange membrane fuel cell based on grey neural network model and particle swarm optimization

K Chen, S Laghrouche, A Djerdir - Energy Conversion and Management, 2019 - Elsevier
The degradation prediction is an effective tool for the long-lasting operation of the proton
exchange membrane fuel cells (PEMFC). In this paper, a novel grey neural network model …