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

Author

Kim, Min Joong ; Peng, Huei ; Lin, Chan-Chiao ; Stamos, Euthie ; Tran, Doanh

Author_Institution

Dept. of Mech. Eng., Michigan Univ., Ann Arbor, MI, USA

fYear

2005

fDate

8-10 June 2005

Firstpage

3859

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.

Keywords

control system synthesis; dynamic programming; fuel cell vehicles; fuel optimal control; hybrid electric vehicles; probability; stochastic programming; DaimlerChrysler Natrium prototype vehicle; FC-VESIM model; fuel cell hybrid vehicle control design; fuel cell hybrid vehicle simulation model; in-field vehicle testing; lab testing; power management control algorithm; probability distribution; stochastic dynamic programming technique; vehicle power demand; Control design; Dynamic programming; Energy management; Fuel cell vehicles; Fuel cells; Optimal control; Probability distribution; Prototypes; Stochastic processes; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

American Control Conference, 2005. Proceedings of the 2005

ISSN

0743-1619

Print_ISBN

0-7803-9098-9

Electronic_ISBN

0743-1619

Type

conf

DOI

10.1109/ACC.2005.1470576

Filename

1470576