Fuel Cell Power Management Using Genetic Expression Programming in All-Electric Ships Article Swipe
Alireza Tashakori Abkenar
,
Ali Nazari
,
Shantha Gamini Jayasinghe
,
Ajay Kapoor
,
Michael Negnevitsky
·
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.1109/tec.2017.2693275
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.1109/tec.2017.2693275
All-Electric Ships (AESs) are considered as an effective solution for reducing greenhouse gas emissions as they provide a better platform to use alternative clean energy sources such as Fuel Cells (FC) in place of fossil fuel. Even though FCs are promising alternative, their response is not fast enough to meet load transients that can occur in ships at sea. Therefore, high-density rechargeable battery storage systems are required to achieve stable operation under such transients. Generally, in such hybrid systems, DC/DC converters are used to interface the FC and battery into the DC-link. This paper presents an intelligent FC power management strategy to improve FC performance at various operating points without employing DC/DC interfacing converters. A hybrid AES driveline model using Genetic Programming (GP) is utilized using Simulink and GeneXProTools4 to formulate operating FC voltage based on the load current, FC air and fuel flow rates. Genetic Algorithm (GA) is used to adjust air and fuel flow rates to keep the FC voltage within the safe operating range at different power demands. The proposed method maintains FC performance as well as reduces fuel consumption; and thereby ensures the optimal power sharing between the FC and the lithium-ion battery in AES application.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/tec.2017.2693275
- OA Status
- green
- Cited By
- 64
- References
- 49
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2606016440
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2606016440Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1109/tec.2017.2693275Digital Object Identifier
- Title
-
Fuel Cell Power Management Using Genetic Expression Programming in All-Electric ShipsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2017Year of publication
- Publication date
-
2017-04-13Full publication date if available
- Authors
-
Alireza Tashakori Abkenar, Ali Nazari, Shantha Gamini Jayasinghe, Ajay Kapoor, Michael NegnevitskyList of authors in order
- Landing page
-
https://doi.org/10.1109/tec.2017.2693275Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://figshare.com/articles/journal_contribution/Fuel_Cell_Power_Management_Using_Genetic_Expression_Programming_in_All-Electric_Ships/26244974Direct OA link when available
- Concepts
-
Automotive engineering, Battery (electricity), Converters, Powertrain, Computer science, Fuel efficiency, Hybrid power, Power (physics), Engineering, Electrical engineering, Voltage, Thermodynamics, Torque, Quantum mechanics, PhysicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
64Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 8, 2024: 5, 2023: 10, 2022: 7, 2021: 8Per-year citation counts (last 5 years)
- References (count)
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49Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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