journal article·2025-06

Degradation prediction of hydrogen fuel cell based on dynamic comprehensive aging indicator and hybrid forecasting method

Zhiguang Hua, Shiyuan Pan, Dongdong Zhao, Sihan Zhang, Rui Ma, Yuanlin Wang, Manfeng Dou

Publisher page

Abstract

No abstract is available for this record. The assistant can identify its topic from the title, but cannot infer the study’s results.

Source: Not provided · Quality: missing

Research context

OpenAlex topics: Fuel Cells and Related Materials · Fault Detection and Control Systems · Advanced Battery Technologies Research

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

References (35)

Show source-provided references
1. Online system identification of a fuel cell stack with guaranteed stability for energy management applications10.1109/TEC.2021.3063701 ↗
2. A hybrid prognostic method for PEMFC with aging parameter prediction10.1109/TTE.2021.3075531 ↗
3. Model prediction control-based energy management combining self-trending prediction and subset-searching algorithm for hydrogen electric multiple unit train10.1109/TTE.2022.3149479 ↗
4. Lifespan prediction for proton exchange membrane fuel cells based on wavelet transform and echo state network10.1109/TTE.2021.3121179 ↗
5. Data-driven fault diagnosis for PEM fuel cell system using sensor pre-selection method and artificial neural network model
6. An echo state network for fuel cell lifetime prediction under a dynamic micro-cogeneration load profile10.1016/j.apenergy.2020.116297 ↗
7. A new fuel cell degradation model indexed by proton exchange membrane thickness derived from polarization curve10.1109/TTE.2022.3188727 ↗
8. Remaining useful life prediction for fuel cell based on support vector regression and grey wolf optimizer algorithm10.1109/TEC.2021.3121650 ↗
9. Adaptive optimization strategy of air supply for automotive polymer electrolyte membrane fuel cell in life cycle10.1016/j.apenergy.2022.119839 ↗
10. Uncertainty quantification of proton-exchange-membrane fuel cells degradation prediction based on Bayesian-Gated Recurrent Unit10.1016/j.etran.2023.100230 ↗
11. Numerical analysis of PEMFC stack performance degradation using an empirical approach10.1016/j.ijhydene.2023.12.096 ↗
12. Extended Kalman filter for prognostic of proton exchange membrane fuel cell10.1016/j.apenergy.2015.11.071 ↗
13. Performance degradation decomposition-ensemble prediction of PEMFC using CEEMDAN and dual data-driven model10.1016/j.renene.2023.118913 ↗
14. Remaining useful life prediction of PEMFC based on long short-term memory recurrent neural networks10.1016/j.ijhydene.2018.10.042 ↗
15. Remaining-useful-lifetime prediction of proton exchange membrane fuel cell considering model uncertainty quantification on the full-time scale
16. Long-term performance prediction of PEMFC based on LASSO-ESN
17. Remaining useful life estimation for proton exchange membrane fuel cells using a hybrid method10.1016/j.apenergy.2019.01.023 ↗
18. Symbolic deep learning based prognostics for dynamic operating proton exchange membrane fuel cells10.1016/j.apenergy.2021.117918 ↗
19. A fusion prognostics strategy for fuel cells operating under dynamic conditions10.1016/j.etran.2022.100166 ↗
20. PEMFC fault diagnosis based on an equivalent circuit and OS-elm framework
21. Degradation prediction of PEMFC based on data-driven method with adaptive fuzzy sampling
22. Hybrid physics-based and data-driven prognostic for PEM fuel cells considering voltage recovery
23. A hybrid remaining useful life prognostic method for proton exchange membrane fuel cell10.1016/j.ijhydene.2018.04.160 ↗
24. Degradation prediction of proton exchange membrane fuel cell stack using semi-empirical and data-driven methods10.1016/j.egyai.2022.100205 ↗
25. Prognostics of proton exchange membrane fuel cells stack using an ensemble of constraints based connectionist networks10.1016/j.jpowsour.2016.05.092 ↗
26. Degradation prediction of proton exchange membrane fuel cell based on the multi-inputs Bi-directional long short-term memory10.1016/j.apenergy.2023.121294 ↗
27. An ensemble of models for integrating dependent sources of information for the prognosis of the remaining useful life of proton exchange membrane fuel cells10.1016/j.ymssp.2019.01.060 ↗
28. Multi-timescale lifespan prediction for PEMFC systems under dynamic operating conditions10.1109/TTE.2021.3103921 ↗
29. A novel health indicator for PEMFC state of health estimation and remaining useful life prediction10.1016/j.ijhydene.2017.05.241 ↗
30. Long-term tests duration reduction for PEMFC μ-CHP application10.1016/j.ijhydene.2016.06.222 ↗
31. Health degradation assessment of proton exchange membrane fuel cell based on an analytical equivalent circuit model10.1016/j.energy.2020.118185 ↗
32. Hybrid ageing model of a proton exchange membrane fuel cell (PEMFC)10.11648/j.ijepe.20221101.12 ↗
33. A novel approach based on semi-empirical model for degradation prediction of fuel cells10.1016/j.jpowsour.2020.229435 ↗
34. Remaining useful life prediction and uncertainty quantification of proton exchange membrane fuel cell under variable load10.1109/TIE.2016.2519328 ↗
35. Adaptive prognostic of fuel cells by implementing ensemble echo state networks in time-varying model space10.1109/TIE.2019.2893827 ↗