Energetic Macroscopic Representation as an efficient tool for energy management in a hybrid electrical system embedded in a helicopter

Abstract

The project is based on the design of an electric network embedded in a helicopter. The electric network supplies the aircraft auxiliaries. It is powered by a turbo alternator and hybridized with other electric sources in order to fulfil the demand of the auxiliaries and to limit the consumption on the main source. In this paper, the studied hybrid system is composed of the main source (the turbine and the alternator), the secondary source (batteries and supercapacitors) and the load representing the auxiliaries. The model of this electric network is organized by using the Energetic Macroscopic Representation (EMR). A Maximal Control Structure (MCS) is determined by inversion rules of the EMR model. An energy management strategy is defined to share the power supplied by each of the electrical sources. This share depends on the dynamic of the load. Simulation results, using Matlab Simulink™ software, are presented.