Dynamic modeling of a SOFC/MGT hybrid power system based on modified OIF Elman neural network

2010 ◽  
Vol 36 (1) ◽  
pp. 87-95 ◽  
Author(s):  
Xiao-Juan Wu ◽  
Qi Huang ◽  
Xin-Jian Zhu
Keyword(s):  
Neural Network ◽  
Power System ◽  
Dynamic Modeling ◽  
Elman Neural Network ◽  
Hybrid Power System ◽  
Hybrid Power

Energy Flow Management for Hybrid Power System of Fuel Cell Robot

2011 ◽  
Vol 304 ◽  
pp. 350-354
Author(s):  
Qi Hong Chen ◽  
Jin Chao Yan
Keyword(s):  
Neural Network ◽  
Fuel Cell ◽  
Power System ◽  
Energy Flow ◽  
Global Approximation ◽  
Flow Management ◽  
Hybrid Power System ◽  
Hybrid Power ◽  
Good Ability ◽  
Multiple Input

The fuel cell robot hybrid power system is a multiple-input and multiple-output nonlinear system. This paper established a model for the system using neural network model, and model predict control strategy was used to control energy split of the system. The simulation results show that the description of neural network has higher precision and good ability of global approximation.

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