On-line tracking of fuel cell system impedance using extended Kalman filter

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23220%2F13%3A43919100" target="_blank" >RIV/49777513:23220/13:43919100 - isvavai.cz</a>

Výsledek na webu

<a href="http://www.aidic.it/cet/13/33/168.pdf" target="_blank" >http://www.aidic.it/cet/13/33/168.pdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3303/CET1333168" target="_blank" >10.3303/CET1333168</a>

Jazyk výsledku

angličtina

Název v původním jazyce

On-line tracking of fuel cell system impedance using extended Kalman filter

Popis výsledku v původním jazyce

This paper presents a new measurement equipment and computational method for on-line estimation and tracking of PEM fuel cell system impedance. The algorithm is developed to address one of the main issues influencing the reliability and durability of PEMfuel cell technology ? the water management in fuel cell stacks, namely fuel cell flooding and membrane drying. Using the appropriate model formulation and system state variables, the model allows direct estimation of the characteristic values of the fuel cell impedance at different frequencies and thus avoids the need for transformation of the measured signals to the frequency domain. Estimation of the model state variables is performed with Extended Kalman filter, which is renowned for its computational efficiency, while the probabilistic interpretation of the algorithm ensures adequate management of the uncertainties. The performance of the diagnostic system is explored on experimental data from a commercial fuel cell stack consisti

Název v anglickém jazyce

On-line tracking of fuel cell system impedance using extended Kalman filter

Popis výsledku anglicky

This paper presents a new measurement equipment and computational method for on-line estimation and tracking of PEM fuel cell system impedance. The algorithm is developed to address one of the main issues influencing the reliability and durability of PEMfuel cell technology ? the water management in fuel cell stacks, namely fuel cell flooding and membrane drying. Using the appropriate model formulation and system state variables, the model allows direct estimation of the characteristic values of the fuel cell impedance at different frequencies and thus avoids the need for transformation of the measured signals to the frequency domain. Estimation of the model state variables is performed with Extended Kalman filter, which is renowned for its computational efficiency, while the probabilistic interpretation of the algorithm ensures adequate management of the uncertainties. The performance of the diagnostic system is explored on experimental data from a commercial fuel cell stack consisti

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

BC - Teorie a systémy řízení

OECD FORD obor

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Projekt

<a href="/cs/project/EE2.3.30.0013" target="_blank" >EE2.3.30.0013: Excelence lidských zdrojů jako zdroj konkurenceschopnosti</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2013

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Chemical engineering transactions

ISSN

1974-9791

e-ISSN

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Svazek periodika

33

Číslo periodika v rámci svazku

September

Stát vydavatele periodika

IT - Italská republika

Počet stran výsledku

6

Strana od-do

1003-1008

Kód UT WoS článku

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EID výsledku v databázi Scopus

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