Hybrid Systems Energy Management Using Optimization Method Based on Dynamic Sources Models

Abstract

This paper focus on offline energy management strategy based on dynamic losses computation made on accurate sources models. Hybrid energy systems (mainly Hybrid Electric Vehicle) should now be managed globally to reach the optimal operation minimizing a global cost criterion, such as hydrogen consumption. The presented operational research method is applied to a Fuel Cell based Vehicle (FCV) powertrain, and it has been adapted to the mathematical model depending on the sources characteristics (fuel cell and battery). In this paper losses and efficiency curves are issued from an accurate nonlinear model using experiments for both sources providing data representing the sources behavior to feed the optimization algorithm. Consumption comparisons on actual mission profiles demonstrate the optimal power splitting obtained.