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http://dx.doi.org/10.3795/KSME-B.2014.38.11.889

PEMFC Optimization Design Using Genetic Algorithm  

Yang, Woo-Joo (Dept. of Mechanical Engineering, Chonnam Nat'l Univ.)
Wang, Hong-Yang (Dept. of Mechanical Engineering, Chonnam Nat'l Univ.)
Lee, Dae-Hyung (Optika Corporation R&D)
Kim, Young-Bae (Dept. of Mechanical Engineering, Chonnam Nat'l Univ.)
Publication Information
Transactions of the Korean Society of Mechanical Engineers B / v.38, no.11, 2014 , pp. 889-897 More about this Journal
Abstract
This paper presents a method for finding an optimized result by using a genetic algorithm (GA) based on a PEMFC analysis result. The conventional analysis method designs fuel cells one-by-one, and each result is compared to obtain the best performance. Because the computational burden of the conventional analysis is enormous, the present optimization process provides an inefficient tool by automatically setting the boundary and material properties and mesh generation. As the change can be reflected automatically in the channel geometry with GA, the fuel cell analysis result with various sizes can be obtained easily. Therefore, the global maximum performance can be obtained through a GA optimization procedure.
Keywords
PEMFC; 3D Model; GDL; Genetic Algorithm; CFD;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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