Development of Optimal Energy Management Strategies for a Hybrid Boat

Peirano, Fabio (2021) Development of Optimal Energy Management Strategies for a Hybrid Boat. [Laurea magistrale], Università di Bologna, Corso di Studio in Automation engineering / ingegneria dell’automazione [LM-DM270], Documento full-text non disponibile
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The present work proposes different approaches to extend the mathematical methods of supervisory energy management used in terrestrial environments to the maritime sector, that diverges in constraints, variables and disturbances. The aim is to find the optimal real-time solution that includes the minimization of a defined track time, while maintaining the classical energetic approach. Starting from analyzing and modelling the powertrain and boat dynamics, the energy economy problem formulation is done, following the mathematical principles behind the optimal control theory. Then, an adaptation aimed in finding a winning strategy for the Monaco Energy Boat Challenge endurance trial is performed via ECMS and A-ECMS control strategies, which lead to a more accurate knowledge of energy sources and boat’s behaviour. The simulations show that the algorithm accomplishes fuel economy and time optimization targets, but the latter adds huge tuning and calculation complexity. In order to assess a practical implementation on real hardware, the knowledge of the previous approaches has been translated into a rule-based algorithm, that let it be run on an embedded CPU. Finally, the algorithm has been tuned and tested in a real-world race scenario, showing promising results.

Tipologia del documento
Tesi di laurea (Laurea magistrale)
Autore della tesi
Peirano, Fabio
Relatore della tesi
Correlatore della tesi
Corso di studio
Ordinamento Cds
Parole chiave
EMS,energy management system,supervisory controller,A-ECMS,ECMS,Rule-based,Boat,HEV,FCHEV,hybrid boat,optimal control,Monaco energy boat challenge,MCEBC,time-optimal,supervisory optimal controller,boat race
Data di discussione della Tesi
28 Maggio 2021

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