The accurate modeling of complex multiphysical devices and systems is a crucial problem in engineering. Such models are usually characterized by highly nonlinear equations and depend on a high number of parameters which often cannot be directly measured. In this paper two stochastic optimization techniques are adapted and compared to the solution of such challenging problems in the case of a reversible fuel cell system.
Stochastic Methods for Parameter Estimation of Multiphysics Models of Fuel Cells
ALOTTO, PIERGIORGIO;GUARNIERI, MASSIMO
2013
Abstract
The accurate modeling of complex multiphysical devices and systems is a crucial problem in engineering. Such models are usually characterized by highly nonlinear equations and depend on a high number of parameters which often cannot be directly measured. In this paper two stochastic optimization techniques are adapted and compared to the solution of such challenging problems in the case of a reversible fuel cell system.File in questo prodotto:
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