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- W2362148576 abstract "The solid oxide fuel cell(SOFC) is one of the most promising power generation technologies in the 21st century. Starting from the practical application of SOFC and by use of improved adaptive neural fuzzy inference system(ANFIS) ,the authors establish electric characteristic model for SOFC stack under the conditions of stable loads and variable loads. Due to insufficient source of the data,firstly according to the working principle of SOFC,by using the theory in electrochemistry and hydrodynamics,a mathematical model of SOFC is built;then on this basis the training and forecasting data for identification model of ANFIS is obtained. Simulation results show that the improved ANFIS technique is available for the modeling and control of SOFC." @default.
- W2362148576 created "2016-06-24" @default.
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- W2362148576 date "2008-01-01" @default.
- W2362148576 modified "2023-09-23" @default.
- W2362148576 title "Modeling of Solid Oxide Fuel Cell Based on Mathematical Theory and Adaptive Neural Fuzzy Inference System Identification" @default.
- W2362148576 hasPublicationYear "2008" @default.
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