New optimized technique for unknown parameters selection of SOFC using Converged Grass Fibrous Root Optimization Algorithm

This paper presents an optimal technique for parameter estimation of a Solid Oxide Fuel Cell (SOFC) model. The idea is to minimize the Sum of Squared Error (SSE) between the output voltage and the experimental data. To achieve this purpose, a new metaheuristic, called the Converged Grass Fibrous Roo...

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Bibliographic Details
Main Authors: Hong Shi, Jing Li, Nicholas Zafetti
Format: Article
Language:English
Published: Elsevier 2020-11-01
Series:Energy Reports
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2352484720306156