Hydrogen consumption minimization strategy for a Fuel Cell Hybrid Vehicle based on Global Position System (GPS) information

This paper studies the improvement obtained by taking driving cycle predictions into account in the power management control of a Fuel Cell hybrid vehicle (FCHV). The objective is to estimate a driving cycle from Global Position System (GPS) information and then to optimize a reduced problem in order to calculate a optimal battery state of charge and a motor power prediction. The control architecture is comprised of a Hybrid MPC controller and a reference governor which consists of a estimator and a optimizer. The results shown herein are promising reducing the hydrogen consumption up to 9.5%.