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Cuckoo search algorithm with explosion operator for modeling proton exchange membrane fuel cells |
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| Affiliation: | 1. School of Mechatronic Engineering and Automation, Shanghai Key Laboratory of Power Station Automation Technology, Shanghai University, Shanghai 200072, China;2. Energy, Power and Intelligent Control, School of Electronics, Electrical Engineering and Computer Science, Queen’s University Belfast, Belfast BT9 5AH, UK;1. College of Electrical Engineering and Control Science, Nanjing Tech University, Nanjing, 211816, China;2. State Key Laboratory of Materials-Oriented Chemical Engineering, Nanjing Tech University, Nanjing, 210009, China;1. Department of Energy Management and Optimization, Institute of Science and High Technology and Environmental Sciences, Graduate University of Advanced Technology, Kerman, Iran;2. Industrial and Systems Engineering Graduate Program, Pontifical Catholic University of Parana, and Department of Electrical Engineering, Federal University of Parana, Curitiba, PR, Brazil |
| Abstract: | Developing an accurate model is important to design and simulation of the fuel cell systems. In this work, we propose a cuckoo search algorithm with explosion operator (CS-EO) to estimate the model parameters of the proton exchange membrane fuel cells (PEMFCs). In CS-EO, the adaptive strategy of step size is adopted to enhance search ability. And the explosion operator is employed to avoid being trapped into local optima. Numerical experiments conduct on some benchmark functions indicate that CS-EO has better performance both in convergence and accuracy. The CS-EO is also applied to estimate the PEMFC model parameters and the satisfactory results reveal its effectiveness. |
| Keywords: | Proton exchange membrane fuel cells (PEMFCs) Parameter estimation Cuckoo search algorithm Explosion operator |
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