Energy Flow Management for Hybrid Power System of Fuel Cell Robot

Qi Hong Chen; Jin Chao Yan

doi:10.4028/www.scientific.net/AMR.304.350

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 304Energy Flow Management for Hybrid Power System of...

Energy Flow Management for Hybrid Power System of Fuel Cell Robot

Abstract:

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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Periodical:

Advanced Materials Research (Volume 304)

Pages:

350-354

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.304.350

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Online since:

July 2011

Authors:

Qi Hong Chen, Jin Chao Yan

Keywords:

Hybrid Power System, Model Predictive Control (MPC), Neural Network (NN)

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References

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