1. Sizing of a combined series-parallel hybrid architecture for river ship application using genetic algorithm and optimal energy management
- Author
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Romain Derollepot, Emmanuel Vinot, Laboratoire Transports et Environnement (IFSTTAR/AME/LTE), and Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR)-Université de Lyon
- Subjects
HYBRID ARCHITECTURE ,Mathematical optimization ,General Computer Science ,Computer science ,Energy management ,010103 numerical & computational mathematics ,02 engineering and technology ,Series and parallel circuits ,7. Clean energy ,01 natural sciences ,NAVIRE ,Theoretical Computer Science ,Reduction (complexity) ,[SPI]Engineering Sciences [physics] ,OPTIMAL CONTROL ,Genetic algorithm ,0202 electrical engineering, electronic engineering, information engineering ,0101 mathematics ,Numerical Analysis ,MOTEUR HYBRIDE ,Applied Mathematics ,Optimal control ,SIZING PROCESS ,Sizing ,Dynamic programming ,CONSOMMATION DE CARBURANT ,Modeling and Simulation ,RIVER SHIP ,TRANSPORT FLUVIAL ,Fuel efficiency ,020201 artificial intelligence & image processing - Abstract
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.
- Published
- 2019
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