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.