Attack-defense strategy assisted osprey optimization algorithm for PEMFC parameters identification

Yongliang Yuan, Qingkang Yang, Jianji Ren, Xiaokai Mu, Zhenxi Wang, Qianlong Shen and Wu Zhao

Renewable Energy, 2024, vol. 225, issue C

Abstract: The electrochemical parameter identification of Proton-exchange membrane fuel cells (PEMFCs) is a highly nonlinear optimization problem. In this study, a new optimization algorithm, named attack defense strategy assisted osprey optimization algorithm (ADSOOA), is proposed to identify PEMFC parameters. ADSOOA incorporates an attack defense strategy to improve convergence performance and prevent falling into local optima. The mean squares error (MSE) between the FC experimental and calculated output voltages is selected as the objective function. To assess the performance of ADSOOA, a comparative analysis is conducted against various state-of-the-art optimization algorithms. Results show that the ADSOOA algorithm performs better than existing algorithms in electrochemical parameter identification of PEMFCs. The optimization results for 250 W PEMFC, BCS-500 W PEMFCM, and NedStack PS6 PEMFC are 9.555e-3 (range 1), 2.773e-18 (range 2), 6.499e-4, and 7.260e-2, respectively.

Keywords: PEMFC; Parameter identification; Osprey optimization algorithm; Attack defense strategy; Fuel cell (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:225:y:2024:i:c:s0960148124002763

DOI: 10.1016/j.renene.2024.120211

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