International Journal of Hydrogen Energy, Journal Year: 2024, Volume and Issue: 110, P. 628 - 645
Published: March 1, 2024
Language: Английский
International Journal of Hydrogen Energy, Journal Year: 2024, Volume and Issue: 110, P. 628 - 645
Published: March 1, 2024
Language: Английский
Joule, Journal Year: 2025, Volume and Issue: unknown, P. 101853 - 101853
Published: March 1, 2025
Language: Английский
Citations
2Applied Energy, Journal Year: 2025, Volume and Issue: 384, P. 125483 - 125483
Published: Feb. 8, 2025
Language: Английский
Citations
0Advanced Science, Journal Year: 2024, Volume and Issue: 11(31)
Published: June 17, 2024
Abstract Analyzing degradation heterogeneity of proton exchange membrane fuel cell (PEMFC) while maintaining high practicality is consistently challenging, primarily due to the destructive and costly nature existing techniques relying on material characterization. In this work, a designed magnetic array integrating 16 sensors within 25 cm 2 space used for direct scanning imaging PEMFC performance during its degradation. Results are validated through mechanism analysis characterization, confirming potential in guiding development durable materials.
Language: Английский
Citations
3International Journal of Hydrogen Energy, Journal Year: 2024, Volume and Issue: 100, P. 1120 - 1134
Published: Dec. 30, 2024
Language: Английский
Citations
2International Journal of Hydrogen Energy, Journal Year: 2024, Volume and Issue: 110, P. 727 - 737
Published: March 1, 2024
Language: Английский
Citations
1Journal of Physics Conference Series, Journal Year: 2024, Volume and Issue: 2903(1), P. 012037 - 012037
Published: Nov. 1, 2024
Abstract Proton exchange membrane fuel cells (PEMFCs), as an environmentally friendly energy conversion device, are considered important solution to achieve the net-zero pathway. However, widespread commercialization of PEMFC is still hindered by limitations in reliability and durability. This article combines degradation mechanism model with data-driven optimization algorithms mechanisms internal health state analysis PEMFCs. Firstly, a semi-empirical for PEMFCs constructed validated experimental data from polarization curve. Afterward, based on 4750 h test data, aging factors fitted genetic algorithms, including leakage current, electrochemical active surface area (ECSA), ion impedance, contact resistance, oxygen diffusion coefficient, concentration loss coefficient. The status key components reflected these factors. provides in-depth observed during long-term operation, thereby establishing fundamental understanding pertaining crucial within
Language: Английский
Citations
0International Journal of Hydrogen Energy, Journal Year: 2024, Volume and Issue: 110, P. 628 - 645
Published: March 1, 2024
Language: Английский
Citations
0