Energy Flow Management for Hybrid Power System of Fuel Cell Robot

Abstract:

Article Preview

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.

Info:

Periodical:

Edited by:

Jerry Tian

Pages:

350-354

DOI:

10.4028/www.scientific.net/AMR.304.350

Citation:

Q. H. Chen and J. C. Yan, "Energy Flow Management for Hybrid Power System of Fuel Cell Robot", Advanced Materials Research, Vol. 304, pp. 350-354, 2011

Online since:

July 2011

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Price:

$35.00

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