TY  - JOUR
U1  - Zeitschriftenartikel, wissenschaftlich - begutachtet (reviewed)
A1  - Clees, Tanja
A1  - Klaassen, Bernhard
A1  - Nikitin, Igor
A1  - Nikitina, Lialia
A1  - Pott, Sabine
A1  - Krewer, Ulrike
A1  - Haisch, Theresa
A1  - Kubannek, Fabian
T1  - Parameter Identification and Model Reduction in the Design of Alkaline Methanol Fuel Cells
JF  - International Journal on Advances in Systems and Measurements
N2  - Alkaline methanol oxidation is an important electrochemical process in the design of efficient fuel cells. Typically, a system of ordinary differential equations is used to model the kinetics of this process. The fitting of the parameters of the underlying mathematical model is performed on the basis of different types of experiments, characterizing the fuel cell. In this paper, we describe generic methods for creation of a mathematical model of electrochemical kinetics from a given reaction network, as well as for identification of parameters of this model. We also describe methods for model reduction, based on a combination of steady-state and dynamical descriptions of the process. The methods are tested on a range of experiments, including different concentrations of the reagents and different voltage range.
KW  - advanced applications
KW  - modeling of complex systems
KW  - mathematical chemistry
KW  - observational data and simulations
UR  - https://www.thinkmind.org/index.php?view=article&articleid=sysmea_v13_n12_2020_9
SN  - 1942-261X
SS  - 1942-261X
VL  - 13
IS  - 1&2
SP  - 94
EP  - 106
S1  - 13
PB  - IARIA
ER  -