Pregled bibliografske jedinice broj: 1045503
Electrochemical Low-Frequency Impedance Spectroscopy for Diagnostics of Fuel Cells
Electrochemical Low-Frequency Impedance Spectroscopy for Diagnostics of Fuel Cells // Proceedings of the IEEE Vehicle Power and Propulsion Conference
Hanoi, Vijetnam: Institute of Electrical and Electronics Engineers (IEEE), 2019. PID1236412, 5 doi:10.1109/VPPC46532.2019.8952402 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1045503 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Electrochemical Low-Frequency Impedance Spectroscopy for Diagnostics of Fuel Cells
Autori
Zenith, Federico ; Halvorsen, Ivar, J. ; Pivac, Ivan ; Bezmalinović, Dario ; Barbir, Frano
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the IEEE Vehicle Power and Propulsion Conference
/ - : Institute of Electrical and Electronics Engineers (IEEE), 2019
ISBN
978-1-7281-1249-7
Skup
2019 IEEE Vehicle Power and Propulsion Conference (VPPC 2019)
Mjesto i datum
Hanoi, Vijetnam, 14.10.2019. - 17.10.2019
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Fuel cells ; Feedback ; Equivalent circuits ; Electrochemical impedance ; Numerical simulation ; Parameter estimation
Sažetak
Diagnostics of the state of health of fuel cells is important for their safe operation and to maximise their lifetime. The low-frequency intercept of a fuel cell’s electrochemical impedance spectrum with the real axis is a good prognostic variable that changes linearly with degradation. Using relay feedback, it is possible to estimate this parameter on-line without a full impedance spectroscopy, with a lightweight algorithm that can be realised with a typical fuel cell control unit. The proposed method is tested in simulations and experiments, and demonstrated convergence times of just a few seconds.
Izvorni jezik
Engleski
Znanstvena područja
Kemijsko inženjerstvo, Strojarstvo
POVEZANOST RADA
Projekti:
KK.01.1.1.01.0003
EK-H2020-700101 - Giantleap Improves Automation of Non-polluting Transportation with Lifetime Extension of Automotive PEM fuel cells (Giantleap) (Barbir, Frano, EK - H2020-JTI-FCH-2015-1) ( CroRIS)
Ustanove:
Fakultet elektrotehnike, strojarstva i brodogradnje, Split