" Optimal parameter identification of SOFC model using modified gray wolf optimization algorithm,"
" Modeling and optimization for proton exchange membrane fuel cell stack using aging and challenging P systems based optimization algorithm,"Įnergy, Elsevier, vol.
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Renewable and Sustainable Energy Reviews, Elsevier, vol. " Optimization strategies for Solid Oxide Fuel Cell (SOFC) application: A literature survey," " Parameter extraction of polymer electrolyte membrane fuel cell based on quasi-dynamic model and periphery signals,"Įnergy, Elsevier, vol. Xu, Liangfei & Fang, Chuan & Hu, Junming & Cheng, Siliang & Li, Jianqiu & Ouyang, Minggao & Lehnert, Werner, 2017." Electrochemical performance of solid oxide fuel cell: Experimental study and calibrated model,"Įnergy, Elsevier, vol. Yahya, Abir & Ferrero, Domenico & Dhahri, Hacen & Leone, Pierluigi & Slimi, Khalifa & Santarelli, Massimo, 2018.
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" Parameter extraction of different fuel cell models with transferred adaptive differential evolution,"Įnergy, Elsevier, vol. Gong, Wenyin & Yan, Xuesong & Liu, Xiaobo & Cai, Zhihua, 2015.
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" Modeling and performance evaluation of PEM fuel cell by controlling its input parameters,"Įnergy, Elsevier, vol. It can be emphasized that the comparisons along other demonstrations indicate the viability of the proposed ISO-based method in defining the unknown parameters of the SOFCs efficiently. For all test cases, detailed comparisons to other competing recent algorithms such as satin bowerbird algorithm, grasshopper optimizer and genetic algorithm are made to validate the numerical results. Additionally, the hydrogen and oxygen flow rates along hydrogen utilization are investigated. Transient responses of the stack current and voltage are analyzed due to load changes. A standard proportional-integral (PI)-controller is engaged to the dynamic model to improve its performance during transient disturbances. In the same context, MATLAB/SIMULINK is used to implement the proposed ISO-based method. The current study is carried out into two phases: i) under steady-state various case studies under various operating conditions are demonstrated, and ii) at later stage, scenarios for transient performance of a SOFC system are investigated.
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Sum of mean squared error (SMSE) is used to formulate the objective function to be optimized by the ISO subject to the validity of predefined constraints. A novel application of interior search optimizer (ISO) to define the necessary parameters to model solid-oxide fuel cells (SOFCs) for further studies is presented.