Power and Energy Commons^™

Nonlinear Multivariable Modeling Of Solid Oxide Fuel Cells Using Core Vector Regression, M. Mohammadi, M. Raoofat, Hesamoddin Marzooghi, G. B. Gharehpetiangharehpetian

Hesamoddin Marzooghi

This paper presents new steady-state and dynamic models for solid oxide fuel cells (SOFCs) using core vector regression (CVR). So far, most of conventional SOFC models have been presented based on conversion laws. Due to complex mathematical equations used in these models, they are time-consuming and need large amount of memory to be applied for controller design, especially power electronic interface controller design, generation and load predictions, optimization and other studies. To overcome these problems, some black-box models, such as support vector machine (SVM) and artificial neural network (ANN)-based models have been also proposed for SOFC. In this paper, in …