Title :
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
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;
Conference_Titel :
American Control Conference, 2005. Proceedings of the 2005
Print_ISBN :
0-7803-9098-9
Electronic_ISBN :
0743-1619
DOI :
10.1109/ACC.2005.1470576
