4.7 Article

Model based optimal management of a hybrid propulsion system for leisure boats

Journal

JOURNAL OF ENERGY STORAGE
Volume 46, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.est.2021.103896

Keywords

Hybrid marine propulsion; Energy storage; Zero -emission maneuvers; Genetic algorithm; Dynamic model; Control system technologies

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This study deals with the design and management of an innovative hybrid thermal-electric propulsion system for passenger boats. The experimental tests and simulation results show significant improvements compared to traditional internal combustion engine configurations, and the use of genetic algorithms for optimization achieves the dual objectives of extending battery life and reducing exhaust emissions.
The strict emission standards for port approach and coastal navigation, and the fuel-saving requirements, in the marine sector, are pushing the manufactures to consider more advanced and alternative propulsion systems. In this context, this study deals with the design and management of an innovative hybrid thermal-electric propulsion system. The evaluations are referred to the case study of a leisure boat, which is used for passen-ger transportation in tourist areas. Experimental tests are carried out on single components, with a particular focus on re-calibration of the thermal engine, for its homologation and optimal use in the proposed hybrid ar-chitecture. The identification of proper management strategies is performed on the basis of a boat simulation model, which is set up starting from experimental data and characteristics of components. In this regard, an optimization procedure, based on the use of genetic algorithms, is performed in order to set the parameters of onboard energy management strategies and pursue the double objective of extending battery pack cycling life and reducing exhaust emissions. The obtained simulation results highlight the benefits of the proposed archi-tecture showing sensible improvements in comparison with a traditional ICE based configuration. The meth-odology proposed in this paper enables reliable evaluations and preliminary optimization of energy management strategies, with a drastic reduction in experimentation time and general costs.

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