Parameter optimization of PEMFC model using backtracking search algorithm

Saad Saleem Khan, Muhammad Awais Rafiq, Hussain Shareef, Muhammad Khurram Sultan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Citations (Scopus)

Abstract

Proton Exchange Membrane Fuel Cell (PEMFC) is one of the promising alternative energy source that can decrease the adverse effect of greenhouse gas emissions. However, predicting the output voltage of PEMFC is difficult because of its non-linear characteristic. Thus, in this paper the modern backtracking search algorithm (BSA) is applied for modeling the PEMFC and extracting model parameters. Initially some experiments are performed on PEMFC system while changing its load linearly. The model parameters are optimized using BSA with root mean square error as an objective function. The final modeled voltage shows that the BSA provide better results than particle swarm optimization (PSO) in modelling PEMFC output voltage.

Original languageEnglish
Title of host publication5th International Conference on Renewable Energy
Subtitle of host publicationGeneration and Application, ICREGA 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages323-326
Number of pages4
ISBN (Electronic)9781538622513
DOIs
Publication statusPublished - Apr 12 2018
Event5th International Conference on Renewable Energy: Generation and Application, ICREGA 2018 - Al Ain, United Arab Emirates
Duration: Feb 26 2018Feb 28 2018

Publication series

Name5th International Conference on Renewable Energy: Generation and Application, ICREGA 2018
Volume2018-January

Other

Other5th International Conference on Renewable Energy: Generation and Application, ICREGA 2018
Country/TerritoryUnited Arab Emirates
CityAl Ain
Period2/26/182/28/18

Keywords

  • BSA
  • Optimization
  • PEMFC
  • PSO

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment

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