Journal
APPLIED ENERGY
Volume 202, Issue -, Pages 20-31Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.apenergy.2017.05.084
Keywords
PEM fuel cell; Modelling; Fuzzy cognitive map; Rule-based FCM
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Funding
- Faculty of Engineering, University of Malaya under the High Impact Research program [UM.C/HIR/MOHE/ENG/23, UMRG RPOO6H-13ICT]
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Modelling Proton Exchange Membrane Fuel Cell (PEMFC) is the fundamental step in designing efficient systems for achieving higher performance. Among the development of new energy technologies, modelling and optimization of energy processes with pollution reduction, sufficient efficiency and low emission are considered one of the most promising areas of study. Despite affecting factors in PEMFC functionality, providing a reliable model for PEMFC is the key of performance optimization challenge. In this paper, fuzzy cognitive map has been used for modelling PEMFC system that is directed to provide a dynamic cognitive map from the affecting factors of the system. Controlling and modification of the system performance in various conditions is more practical by correlations among the performance factors of the PEMFC derived from fuzzy cognitive maps. On the other hand, the information of fuzzy cognitive map modelling is applicable for modification of neural networks structure for providing more accurate results based on the extracted knowledge from the cognitive map and visualization of the system's performance. Finally, a rule based fuzzy cognitive map has been used that can be implemented for decision making to control the system. This rule-based approach provides interpretability while enhancing the performance of the overall system. (C) 2017 Elsevier Ltd. All rights reserved.
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