Cargando…
Dynamic Modeling of a Proton-Exchange Membrane Fuel Cell Using a Gaussian Approach
This paper proposes a Gaussian approach for the proton-exchange membrane fuel cell (PEMFC) model that estimates its voltage behavior from the operating current value. A multi-parametric Gaussian model and an unconstrained optimization formulation based on a conventional non-linear least squares opti...
Autores principales: | González-Castaño, Catalina, Lorente-Leyva, Leandro L., Alpala, Janeth, Revelo-Fuelagán, Javier, Peluffo-Ordóñez, Diego H., Restrepo, Carlos |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8705013/ https://www.ncbi.nlm.nih.gov/pubmed/34940454 http://dx.doi.org/10.3390/membranes11120953 |
Ejemplares similares
-
Modelling of Proton Exchange Membrane Fuel Cells with Sinusoidal Approach
por: González-Castaño, Catalina, et al.
Publicado: (2022) -
Application of Support Vector Machine to Obtain the Dynamic Model of Proton-Exchange Membrane Fuel Cell
por: Durango, James Marulanda, et al.
Publicado: (2022) -
A data set for electric power consumption forecasting based on socio-demographic features: Data from an area of southern Colombia
por: Parraga-Alava, Jorge, et al.
Publicado: (2020) -
Proton Exchange Membrane Fuel Cells
por: Qi, Zhigang
Publicado: (2013) -
MILimbEEG: A dataset of EEG signals related to upper and lower limb execution of motor and motor imagery tasks
por: Asanza, Víctor, et al.
Publicado: (2023)