Model Structure Optimization for Fuel Cell Polarization Curves

Model Structure Optimization for Fuel Cell Polarization Curves

The applications of evolutionary optimizers such as genetic algorithms, differential evolution, and various swarm optimizers to the parameter estimation of the fuel cell polarization curve models have increased. This study takes a novel approach on utilizing evolutionary optimization in fuel cell mo...

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Bibliographic Details
Main Authors: Markku Ohenoja, Aki Sorsa, Kauko Leiviskä
Format: Article
Language:English
Published: MDPI AG 2018-11-01
Series:Computers
Subjects:
model identification
genetic algorithms
fuel cell
Online Access:https://www.mdpi.com/2073-431X/7/4/60

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