The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.
Extended Kalman Filter for prognostic of Proton Exchange Membrane Fuel Cell
Open accessAbstract
The Proton Exchange Membrane Fuel Cell is a promising energy converter for various fields of application: stationary, portable and mobile. However durability avoids its widespread deployment. Deterioration mechanisms are not all fully understood and that is the reason why the prognostic of such device is gaining attention. This helps determine the present and future state of health of Fuel Cell, to deduce the remaining life in order to take corrective actions. The work presented in this paper attempts to address this issue by proposing a method based on a degradation model. An observer, based on an Extended Kalman Filter, estimates the state of health and the dynamic of the degradations. This result is extrapolated until a threshold is reached and the residual life is deduced. This method allows estimating the lifespan with a single model, robust to uncertainties, whatever the operating conditions are. Simulations are conducted to validate the method. Finally, this framework is used on a set of experimental data from long term test on a 5-cell stack operated under a constant current solicitation.
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Cites
Dicks, A. L., & Rand, D. A. J. (2018) · Wiley eBooks · doi:10.1002/9781118706992 · Cited by 4,224
Larminie, J., & Dicks, A. (2003) · Wiley eBooks · doi:10.1002/9781118878330 · Cited by 3,935
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A review of the main parameters influencing long-term performance and durability of PEM fuel cells
Schmittinger, W., & Vahidi, A. (2008) · Journal of Power Sources · doi:10.1016/j.jpowsour.2008.01.070 · Cited by 819
A review on prognostics and health monitoring of Li-ion battery
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Pei, P., & Chen, H. (2014) · Applied Energy · doi:10.1016/j.apenergy.2014.03.048 · Cited by 616
Industrial Applications of the Kalman Filter: A Review
Auger, F., Hilairet, M., Guerrero, J. M., Monmasson, E., Orlowska-Kowalska, T., & Katsura, S. (2013) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2012.2236994 · Cited by 590
Self-citationLifetime prediction and the economic lifetime of Proton Exchange Membrane fuel cells
Chen, H., Pei, P., & Song, M. (2015) · Applied Energy · doi:10.1016/j.apenergy.2014.12.062 · Cited by 473
Polymer Electrolyte Fuel Cell Durability
(2009) · Springer eBooks · doi:10.1007/978-0-387-85536-3 · Cited by 396
Cited by
Moradi, R., & Groth, K. M. (2019) · International Journal of Hydrogen Energy · doi:10.1016/j.ijhydene.2019.03.041 · Cited by 1,390
Ren, P., Pei, P., Li, Y., Wu, Z., Chen, D., & Huang, S. (2020) · Progress in Energy and Combustion Science · doi:10.1016/j.pecs.2020.100859 · Cited by 737
Remaining useful life prediction of PEMFC based on long short-term memory recurrent neural networks
Liu, J., Li, Q., Chen, W., Yan, Y., Qiu, Y., & Cao, T. (2019) · International Journal of Hydrogen Energy · doi:10.1016/j.ijhydene.2018.10.042 · Cited by 284
Meng, X., Mei, J., Tang, X., Jiang, J., Sun, C., & Song, K. (2024) · Energies · doi:10.3390/en17123050 · Cited by 91
Wang, X., Dai, K., Hu, M., & Ni, N. (2024) · Journal of Energy Storage · doi:10.1016/j.est.2024.112442 · Cited by 72
Metadata
- Authors
- Bressel, M., Hilairet, M., Hissel, D., & Ould Bouamama, B.
- Venue
- Applied Energy
- Publisher
- Elsevier BV
- Published
- 2016-02
- Volume
- 164
- Pages
- 220-227
- ISSN
- 0306-2619 (ISSN-L)
- OpenAlex
- W2204993982
- Cited by
- 331
- References
- 24
- FWCI
- 6.74
- Type
- journal article
- Language
- en
- Open access
- green
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- Bressel, M., Hilairet, M., Hissel, D., & Ould Bouamama, B. (2016). Extended Kalman Filter for prognostic of Proton Exchange Membrane Fuel Cell. Applied Energy. https://doi.org/10.1016/j.apenergy.2015.11.071
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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