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 …
and applied as the power units in the electric vehicles. However, their life-span under the …
Recent advances and summarization of fault diagnosis techniques for proton exchange membrane fuel cell systems: A critical overview
J Wang, B Yang, C Zeng, Y Chen, Z Guo, D Li… - Journal of Power …, 2021 - Elsevier
With soaring growth in the utilization of proton exchange membrane fuel cell (PEMFC)
systems on various applications, researches on fault diagnosis techniques of PEMFC …
systems on various applications, researches on fault diagnosis techniques of PEMFC …
Online fault diagnosis of external short circuit for lithium-ion battery pack
Battery safety is one of the most crucial issues in the utilization of lithium-ion batteries (LiBs)
for all-climate electric vehicles. Short circuit, overcharge, and overheat are three common …
for all-climate electric vehicles. Short circuit, overcharge, and overheat are three common …
Durable and efficient hollow porous oxide spinel microspheres for oxygen reduction
Transition metal oxide catalysts with high oxygen reduction activity and durability are highly
desirable for use in fuel cells and metal-air batteries. Herein we report, for the first time, the …
desirable for use in fuel cells and metal-air batteries. Herein we report, for the first time, the …
Quantitative analysis of internal polarization dynamics for polymer electrolyte membrane fuel cell by distribution of relaxation times of impedance
H Yuan, H Dai, P Ming, X Wang, X Wei - Applied Energy, 2021 - Elsevier
Investigating and interpreting each internal polarization dynamics that occurs in the polymer
electrolyte membrane fuel cell is significant. Traditional equivalent circuit model fitting by …
electrolyte membrane fuel cell is significant. Traditional equivalent circuit model fitting by …
Review on hydrogen fuel cell condition monitoring and prediction methods
RH Lin, XN Xi, PN Wang, BD Wu, SM Tian - International Journal of …, 2019 - Elsevier
A hydrogen fuel cell combines oxygen and hydrogen to generate electricity, which becomes
a promising power source. The conditions of the fuel cell, such as health status, and faults …
a promising power source. The conditions of the fuel cell, such as health status, and faults …
Data-driven flooding fault diagnosis method for proton-exchange membrane fuel cells using deep learning technologies
B Zuo, Z Zhang, J Cheng, W Huo, Z Zhong… - Energy Conversion and …, 2022 - Elsevier
Effective and accurate diagnostic methods are necessary to ensure the stable and efficient
operation of proton exchange membrane fuel cells (PEMFC). In practice, the voltage drop is …
operation of proton exchange membrane fuel cells (PEMFC). In practice, the voltage drop is …
Data-driven prognostics based on time-frequency analysis and symbolic recurrent neural network for fuel cells under dynamic load
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 …
membrane fuel cell (PEMFC). For the prognostics of PEMFC operating under dynamic load …
Diagnosis of water failures in proton exchange membrane fuel cell with zero-phase ohmic resistance and fixed-low-frequency impedance
Water failures, which can be diagnosed with alternating-current impedance, is harmful to
output properties and durability of the proton exchange membrane fuel cell. In this paper, an …
output properties and durability of the proton exchange membrane fuel cell. In this paper, an …
A discrete hidden Markov model fault diagnosis strategy based on K-means clustering dedicated to PEM fuel cell systems of tramways
J Liu, Q Li, W Chen, T Cao - International Journal of Hydrogen Energy, 2018 - Elsevier
To solve the fault classification problems of fuel cell (FC) various health states for tramways,
a discrete hidden Markov model (DHMM) fault diagnosis strategy based on K-means …
a discrete hidden Markov model (DHMM) fault diagnosis strategy based on K-means …