학술논문

Testing, modeling, and control of a fuel cell hybrid vehicle

Document Type

Conference

Author

Min Joong Kim; Huei Peng; Chan-Chiao Lin; Stamos, E.; Tran, D.

Source

Proceedings of the 2005, American Control Conference, 2005. American Control Conference American Control Conference, 2005. Proceedings of the 2005. :3859-3864 vol. 6 2005

Subject

Robotics and Control Systems
Computing and Processing
Components, Circuits, Devices and Systems
Testing
Fuel cells
Fuel cell vehicles
Control design
Prototypes
Energy management
Optimal control
Stochastic processes
Dynamic programming
Probability distribution

Language

ISSN

0743-1619
2378-5861

Abstract

A comprehensive procedure for testing, modeling, and control design of a fuel cell hybrid vehicle (FCHV) is presented in this paper. The subsystems are modeled based on lab testing and in-field vehicle testing results from the DaimlerChrysler Natrium prototype vehicle. An FC-VESIM (fuel cell hybrid vehicle simulation) model is then developed based on the experimental data. The power management control algorithm for the FCHV is subsequently developed based on the stochastic dynamic programming (SDP) technique, which produces an optimal policy for a given probability distribution of the vehicle power demand.

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