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 …

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 …

Thermal fault prognosis of lithium-ion batteries in real-world electric vehicles using self-attention mechanism networks

J Hong, H Zhang, X Xu - Applied Thermal Engineering, 2023 - Elsevier
Battery temperature is directly related to various thermal faults and thermal runaway of a
battery system in electric vehicles. Its prediction is critical to the safety and durability of the …

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 …

Design and optimization of a novel composite bionic flow field structure using three-dimensional multiphase computational fluid dynamic method for proton exchange …

L **a, Z Yu, G Xu, S Ji, B Sun - Energy Conversion and Management, 2021 - Elsevier
The flow field structure of proton exchange membrane fuel cell (PEMFC) plays a crucial role
in fluid flow, species transport, heat transfer and electrochemical reaction of PEMFC. In this …

Residual convolution long short-term memory network for machines remaining useful life prediction and uncertainty quantification

W Wang, Y Lei, T Yan, N Li… - Journal of Dynamics …, 2022 - ojs.istp-press.com
Recently, deep learning is widely used in the field of remaining useful life (RUL) prediction.
Among various deep learning technologies, recurrent neural network (RNN) and its variant …

Experimental investigation on voltage response characteristics of hydrogen-oxygen proton exchange membrane fuel cells under gas starvation

K Meng, B Chen, H Zhou, J Shen, Z Tu - Energy Conversion and …, 2022 - Elsevier
Hydrogen and oxygen starvation during operation have an irreversible impact on
performance of proton exchange membrane fuel cell (PEMFC), which seriously restricts its …

Remaining useful life prediction of lithium-ion batteries using EM-PF-SSA-SVR with gamma stochastic process

Y Keshun, Q Guangqi, G Yingkui - Measurement Science and …, 2023 - iopscience.iop.org
Due to the complex changes in physicochemical properties of lithium-ion batteries during
the process from degradation to failure, it is difficult for methods based on physical or data …

Health management for PEMFC system long-term operation based on optimal temperature trajectory real-time optimization

Q Li, T Su, L Yin, S **e, Y Tan… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
To decelerate the performance degradation of proton exchange membrane fuel cell
(PEMFC) in long-term operation, a health management based on optimal temperature …

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 …