Sizing of a combined series-parallel hybrid architecture for river ship application using genetic algorithm and optimal energy management

Romain Derollepot (1) , Emmanuel Vinot (1)

1 IFSTTAR/AME/LTE - Laboratoire Transports et Environnement

A good way to reduce the fuel consumption of a commercial river ship can be the hybridization of the system. Sizing the system related to its actual use and energy management is then a key-point. In this paper a global sizing method based on Genetic Algorithm and dynamic programming is proposed. It allows the sizing of a complex series-parallel architecture on uses cycles which are developed using measurements on real ship. The study shows potential reduction of fuel consumption around 10 %, and proposes some leads to reduce the pollutant emissions.

Mots clés: HYBRID ARCHITECTURE; OPTIMAL CONTROL; SIZING PROCESS; RIVER SHIP

Mots clés: TRANSPORT FLUVIAL; NAVIRE; CONSOMMATION DE CARBURANT; MOTEUR HYBRIDE

Domaines: Sciences de l'ingénieur [physics]

Romain Derollepot, Emmanuel Vinot. Sizing of a combined series-parallel hybrid architecture for river ship application using genetic algorithm and optimal energy management. Mathematics and Computers in Simulation, 2018, 30 p. ⟨10.1016/j.matcom.2018.09.012⟩. ⟨hal-01907874⟩