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 …

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 …

Online fault diagnosis of external short circuit for lithium-ion battery pack

R Xiong, R Yang, Z Chen, W Shen… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
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 …

Durable and efficient hollow porous oxide spinel microspheres for oxygen reduction

H Wang, R Liu, Y Li, X Lü, Q Wang, S Zhao, K Yuan… - Joule, 2018 - cell.com
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 …

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 …

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 …

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 …

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 …

Diagnosis of water failures in proton exchange membrane fuel cell with zero-phase ohmic resistance and fixed-low-frequency impedance

P Ren, P Pei, Y Li, Z Wu, D Chen, S Huang, X Jia - Applied Energy, 2019 - Elsevier
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 …

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 …