TECHNIQUES FOR PREDICTIVE SUPERVISORY ENERGY MANAGEMENT IN FUEL CELL ELECTRIC VEHICLES

A predictive supervisory energy management technique for a fuel cell electric vehicle (FCEV) involves monitoring driver inputs to the FCEV, states of the FCEV, and external inputs affecting the FCEV along a defined route, predicting energy consumption by a high voltage system of the FCEV across a future prediction horizon based on the driver inputs, the states of the FCEV, and the external inputs affecting the determining weighting factors and boundary conditions for a cost function for the energy consumption by the high voltage system of the FCEV, evaluating the cost function based on the determined weighting factors, boundary conditions, and the predicted energy consumption by the high voltage system across the future prediction horizon, and optimally controlling a fuel cell system and a high voltage battery system of the high voltage system of the FCEV based on the evaluation of the cost function.