Energy Management Strategy on Fuel Cell Hybrid Electric Articulated Vehicle Based on Vehicular Networking

In this paper, an energy management method based on vehicular networking is proposed for the dual power sources fuel cell electric articulated vehicle. Vehicular networking includes a cloud computing center, which predicts the information of power demand for the real-time driving condition based on the history data analysis, and solves the energy management strategy for the dual power sources utilizing the Radau pseudospectral method (RPM). The global interpolation polynomial is used to approximate the state variables and control variables in the system. The derivative of the interpolation polynomial approximates the differential equation of the state variables in the dynamic equation. Further, the optimal control problem (OCP) is transformed into nonlinear problem (NLP) to be solved. The simulation result of the proposed strategy show that the capacity degradation of the fuel cell can be reduced while meeting the power output demand, which means the lifetime of the fuel cell could be extended.