文献类型：期刊文献

英文题名：System Identification of the PEMFCs based on Balanced Manta-Ray Foraging Optimization algorithm

作者：Sheng, Biqi[1,2];Pan, Tianhong[1];Luo, Yun[2];Jermsittiparsert, Kittisak[3,4,5]

第一作者：Sheng, Biqi

通讯作者：Sheng, BQ[1];Jermsittiparsert, K[2]

机构：[1]Jiangsu Univ, Sch Elect Informat & Engn, Zhenjiang 212013, Jiangsu, Peoples R China;[2]China Coast Guard Acad, Ningbo 315800, Zhejiang, Peoples R China;[3]Duy Tan Univ, Inst Res & Dev, Da Nang 550000, Vietnam;[4]Duy Tan Univ, Fac Informat Technol, Da Nang 550000, Vietnam;[5]Henan Univ Econ & Law, MBA Sch, Zhengzhou 450046, Henan, Peoples R China

第一机构：Jiangsu Univ, Sch Elect Informat & Engn, Zhenjiang 212013, Jiangsu, Peoples R China

通讯机构：[1]corresponding author), Jiangsu Univ, Sch Elect Informat & Engn, Zhenjiang 212013, Jiangsu, Peoples R China;[2]corresponding author), Duy Tan Univ, Fac Informat Technol, Da Nang 550000, Vietnam.

年份：2020

卷号：6

起止页码：2887-2896

外文期刊名：ENERGY REPORTS

收录：;EI(收录号：20204309388211);Scopus(收录号：2-s2.0-85092919129);WOS:【SCI-EXPANDED(收录号:WOS:000602740100019)】；

基金：This work was supported by the postdoctoral program of Jiangsu University

语种：英文

外文关键词：Proton exchange membrane fuel cell; Model identification; Voltage estimation; Balanced Manta-Ray Foraging Optimization algorithm

摘要：The present paper proposes a new optimal method for modeling and simulating of a proton exchange membrane fuel cell (PEMFC) system. The main idea is to minimize the Sum of Squared Error (SSE) between the experimental and the estimated output voltages to achieve the maximum agreement between them. To minimize the error value, a modified metaheuristic, called Balanced Manta-Ray Foraging Optimization (BMRFO) algorithm has been designed. The designed algorithm is proposed for resolving the algorithm premature convergence and to improve the algorithm diversity. By performing 30 independent runs for the suggested BMRFO algorithm and comparing it with some other algorithms from the literature, it is observed that the proposed method gives better convergency in speed and accuracy. (C) 2020 The Authors. Published by Elsevier Ltd.