Design Optimization of Battery-Electric Marine Vessels via Geometric Programming
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Volume Title
A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
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Date
2023-07-20
Department
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Language
en
Pages
18
76563 - 76580
76563 - 76580
Series
IEEE Access, Volume 11
Abstract
This paper proposes formulating conceptual-stage vessel design optimization problems as geometric programs, which can be transformed into convex optimization problems. Convex optimization offers significant advantages in efficiency, reliability and automation potential over the general nonlinear optimization approach typically used in naval architecture. Focusing on battery-electric vessels, geometric program compatible models are derived for lithium-ion cells, power converters, propulsion motors and propellers. Preliminary hull form development, stability calculation and structural design are also presented in the context of geometric programming. The modeling approach is applied to study optimal battery sizing for a coastal bulk carrier sailing in varying operational conditions. Using open-source software tools, the battery sizing problem is solved in less than a second on a standard desktop computer. Local sensitivity information encoded by optimal dual variables reveals that increasing the cell discharge upper bound by 1% decreases the optimal total number of cells by more than 1%. On the other hand, the sensitivities of cell volume and maximum discharging current parameters are zero, indicating that the constraints involving these parameters do not govern the solution.Description
Keywords
electric propulsion, battery energy storage, design optimization, ship design, convex optimization, geometric programming
Citation
Ritari , A , Mouratidis , P & Tammi , K 2023 , ' Design Optimization of Battery-Electric Marine Vessels via Geometric Programming ' , IEEE Access , vol. 11 , pp. 76563 - 76580 . https://doi.org/10.1109/ACCESS.2023.3297219
