Design Optimization of Battery-Electric Marine Vessels via Geometric Programming
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 opt...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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IEEE
2023-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10188831/ |
| _version_ | 1797768406311632896 |
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| author | Antti Ritari Panagiotis Mouratidis Kari Tammi |
| author_facet | Antti Ritari Panagiotis Mouratidis Kari Tammi |
| author_sort | Antti Ritari |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-12T20:53:07Z |
| format | Article |
| id | doaj.art-5cef253511a24e918e3bdca04a44e1a6 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-03-12T20:53:07Z |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-5cef253511a24e918e3bdca04a44e1a62023-07-31T23:01:19ZengIEEEIEEE Access2169-35362023-01-0111765637658010.1109/ACCESS.2023.329721910188831Design Optimization of Battery-Electric Marine Vessels via Geometric ProgrammingAntti Ritari0https://orcid.org/0000-0002-6883-1447Panagiotis Mouratidis1https://orcid.org/0000-0002-0175-0271Kari Tammi2https://orcid.org/0000-0001-9376-2386Department of Mechanical Engineering, Aalto University, Espoo, FinlandDepartment of Mechanical Engineering, Aalto University, Espoo, FinlandDepartment of Mechanical Engineering, Aalto University, Espoo, FinlandThis 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.https://ieeexplore.ieee.org/document/10188831/Electric propulsionbattery energy storagedesignoptimizationconvex optimizationgeometric programming |
| spellingShingle | Antti Ritari Panagiotis Mouratidis Kari Tammi Design Optimization of Battery-Electric Marine Vessels via Geometric Programming IEEE Access Electric propulsion battery energy storage design optimization convex optimization geometric programming |
| title | Design Optimization of Battery-Electric Marine Vessels via Geometric Programming |
| title_full | Design Optimization of Battery-Electric Marine Vessels via Geometric Programming |
| title_fullStr | Design Optimization of Battery-Electric Marine Vessels via Geometric Programming |
| title_full_unstemmed | Design Optimization of Battery-Electric Marine Vessels via Geometric Programming |
| title_short | Design Optimization of Battery-Electric Marine Vessels via Geometric Programming |
| title_sort | design optimization of battery electric marine vessels via geometric programming |
| topic | Electric propulsion battery energy storage design optimization convex optimization geometric programming |
| url | https://ieeexplore.ieee.org/document/10188831/ |
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