A PEMFC model optimization using the enhanced bald eagle algorithm

Ain Shams Engineering Journal

Mohamed A.M. Shaheen¹  Ibrahim Alsaidan²  Abrar S. Alnafisah²  Hany M. Hasanien³  Muhannad Alaraj⁴ 

[1] Corresponding author.;Department of Electrical Engineering, College of Engineering, Qassim University, Buraydah 52571, Qassim, Saudi Arabia;Electrical Engineering Department, Faculty of Engineering and Technology, Future University in Egypt, Cairo 11835, Egypt;Electrical Power and Machines Department, Faculty of Engineering, Ain Shams University, Cairo 11517, Egypt;

关键词: Bald eagle search;    Experimental results;    Optimization algorithms;    PEMFCs parameters estimation;   

DOI  :  

来源: DOAJ

【 摘 要 】

In this article, a novel optimization algorithm is implemented to estimate the design variables of proton exchange membrane fuel cells. The main objective is to get the minimum of the sum of squared errors (SSE), which is defined as the difference between the measured and the calculated data. The newly developed optimization algorithm is known as the Enhanced Bald Eagle Search (EBES) Optimization Algorithm. To verify the proposed algorithm, three tested cases are introduced: BCS 500 W, 250 W, and Horizon H-12 stacks. To study the impact of pressure and temperature variation on the proposed algorithm, the studied cases are repeated under various pressure and temperature conditions. One obstacle to be solved is a nonlinear complex problem that requires an efficient optimization algorithm. A comparison with the existing optimization algorithms is conducted which confirms the effectiveness of the newly developed EBES algorithm.

【 授权许可】

Unknown