A Modified Particle Swarm Optimization based Method for Identification and Estimation of PEMFC’s System Parameters

Abstract

In this paper a technique to identify Proton Exchange Membrane Fuel Cell (PEMFC)'s parameters using an optimization approach is proposed. The PEMFC is characterized by technological and empirical parameters and their identification is a hard and time wasting task if is intended to have precise simulation results in a wide range of operating conditions. The Modified Particle Swarm Optimization (MPSO) method is a powerful tool to identify the correct parameter value and used for fast and precise MPSO parameter's identification which is achieved by minimizing the difference between experimental and simulated result.

Authors and Affiliations

Mohammad sarvi , Iman Soltani

Keywords

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  • EP ID EP135272
  • DOI -
  • Views 116
  • Downloads 0

How To Cite

Mohammad sarvi, Iman Soltani (2012). A Modified Particle Swarm Optimization based Method for Identification and Estimation of PEMFC’s System Parameters. International Journal of Computer Science & Engineering Technology, 3(8), 378-385. https://europub.co.uk/articles/-A-135272