Developed Design of Battle Royale Optimizer for the Optimum Identification of Solid Oxide Fuel Cell

Keyvan Karamnejadi Azar, Armin Kakouee, Morteza Mollajafari, Ali Majdi, Noradin Ghadimi () and Mojtaba Ghadamyari
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Keyvan Karamnejadi Azar: Department of Electrical Engineering, Urmia Branch, Islamic Azad University, Urmia 57169-63896, Iran
Armin Kakouee: Department of Mechanical Engineering, Amoli Branch, Islamic Azad University Ayatollah, Amol 46351-43358, Iran
Morteza Mollajafari: Automotive Electrical and Electronics Laboratory, School of Automotive Engineering, Iran University of Science and Technology, Tehran 16846-13114, Iran
Ali Majdi: Department of Building and Construction Techniques, Al-Mustaqbal University College, Hillah 51001, Iraq
Noradin Ghadimi: Young Researchers and Elite Club, Ardabil Branch, Islamic Azad University, Ardabil 56157-31567, Iran
Mojtaba Ghadamyari: Department of Computer Engineering, Lebanese French University, Erbil 44001, Iraq

Sustainability, 2022, vol. 14, issue 16, 1-18

Abstract: One of the most appropriate electricity production systems is solid oxide fuel cells (SOFCs), which are important because they are highly efficient, flexible to fuel, and have fewer environmental degradation effects. A new optimum technique has been provided for providing well-organized unknown parameters identification of the solid oxide fuel cell system. The main idea is to achieve the lowest amount of the sum of square error between the model’s output voltage and the empirical voltage datapoints. To get efficient results, the minimum error value has been achieved by designing a new metaheuristic algorithm, called the Developed version of Battle Royale algorithm. The reason for using this version of Battle Royale algorithm is to achieve results with higher accuracy and better convergence. The proposed technique was then applied to a 96-cell SOFC stack under different temperature and pressure values and its achievements were compared with several different latest methods to show the proposed method’s efficiency.

Keywords: solid oxide fuel cell; parameter estimation; Developed Battle Royale algorithm; sensitivity analysis (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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