A review on lifetime prediction of proton exchange membrane fuel cells system
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 …
power converter device in a wide range of applications, especially in the transportation area …
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 …
health management. This paper presents a hybrid deep learning method by combining the …
A performance degradation prediction model for PEMFC based on bi-directional long short-term memory and multi-head self-attention mechanism
Proton exchange membrane fuel cell (PEMFC) is a highly promising renewable energy
conversion technology. However, durability issues have hindered their large-scale …
conversion technology. However, durability issues have hindered their large-scale …
Research progress on aging prediction methods for fuel cells: mechanism, methods, and evaluation criteria
Z Tian, Z Wei, J Wang, Y Wang, Y Lei, P Hu… - Energies, 2023 - mdpi.com
Due to the non-renewable nature and pollution associated with fossil fuels, there is
widespread research into alternative energy sources. As a novel energy device, a proton …
widespread research into alternative energy sources. As a novel energy device, a proton …
Optimal planning of cross-regional hydrogen energy storage systems considering the uncertainty
The cross-regional consumption of renewable energy can effectively solve the problem of
the uneven spatial distribution of renewable energy. To explore the application of hydrogen …
the uneven spatial distribution of renewable energy. To explore the application of hydrogen …
A novel aging prediction method of fuel cell based on empirical mode decomposition and complexity threshold quantitative criterion
Data-driven methods have been widely applied to fault diagnosis and aging predictions to
assist fuel cell Prognostic and Health Management (PHM) system, in order to achieve early …
assist fuel cell Prognostic and Health Management (PHM) system, in order to achieve early …
Remaining useful life prediction of vehicle-oriented PEMFC systems based on IGWO-BP neural network under real-world traffic conditions
J Yang, L Wang, B Zhang, H Zhang, X Wu, X Xu… - Energy, 2024 - Elsevier
Accurately predicting the useful life can serve as a pivotal reference for effectively extending
the lifespan of proton exchange membrane fuel cells (PEMFCs). Herein, this paper proposes …
the lifespan of proton exchange membrane fuel cells (PEMFCs). Herein, this paper proposes …
Optimal post-prognostics decision making for multi-stack fuel cells in transportation: toward joint load allocation and maintenance scheduling
Durability, reliability, and efficiency remain the primary barriers that impede the
commercialization of proton exchange membrane fuel cells. Prognostics and health …
commercialization of proton exchange membrane fuel cells. Prognostics and health …
A deep learning method based on CNN-BiGRU and attention mechanism for proton exchange membrane fuel cell performance degradation prediction
The performance of proton exchange membrane fuel cells (PEMFCs) will gradually
deteriorate during long-term operation. Accurate performance degradation prediction is …
deteriorate during long-term operation. Accurate performance degradation prediction is …
Remaining useful life prediction of lithium-ion batteries based on data denoising and improved transformer
K Zhou, Z Zhang - Journal of Energy Storage, 2024 - Elsevier
Accurately predicting the remaining useful life (RUL) of lithium-ion batteries (LIBs) is
essential in improving the safety and availability of energy storage systems. However, the …
essential in improving the safety and availability of energy storage systems. However, the …