Version 1
: Received: 14 September 2024 / Approved: 17 September 2024 / Online: 17 September 2024 (11:38:24 CEST)
How to cite:
Nivolianiti, E.; Karnavas, Y. L.; Charpentier, J.-F. Fuzzy Logic based Energy Management Strategy for Hybrid Fuel Cell Electric Ship's Power and Propulsion System. Preprints2024, 2024091286. https://doi.org/10.20944/preprints202409.1286.v1
Nivolianiti, E.; Karnavas, Y. L.; Charpentier, J.-F. Fuzzy Logic based Energy Management Strategy for Hybrid Fuel Cell Electric Ship's Power and Propulsion System. Preprints 2024, 2024091286. https://doi.org/10.20944/preprints202409.1286.v1
Nivolianiti, E.; Karnavas, Y. L.; Charpentier, J.-F. Fuzzy Logic based Energy Management Strategy for Hybrid Fuel Cell Electric Ship's Power and Propulsion System. Preprints2024, 2024091286. https://doi.org/10.20944/preprints202409.1286.v1
APA Style
Nivolianiti, E., Karnavas, Y. L., & Charpentier, J. F. (2024). Fuzzy Logic based Energy Management Strategy for Hybrid Fuel Cell Electric Ship's Power and Propulsion System. Preprints. https://doi.org/10.20944/preprints202409.1286.v1
Chicago/Turabian Style
Nivolianiti, E., Yannis L Karnavas and Jean-Frédéric Charpentier. 2024 "Fuzzy Logic based Energy Management Strategy for Hybrid Fuel Cell Electric Ship's Power and Propulsion System" Preprints. https://doi.org/10.20944/preprints202409.1286.v1
Abstract
The growing use of proton-exchange membrane fuel cells (PEMFC) in hybrid propulsion systems, aimed at replacing traditional internal combustion engines and reducing greenhouse gas emis-sions. Effective power distribution between the fuel cell and the energy storage system (ESS) is crucial, which has led to a growing emphasis on developing energy management systems (EMS) to efficiently implement this integration. To address this goal, this study examines the performance of a fuzzy logic rule-based strategy for a hybrid fuel cell propulsion system in a small hydro-gen-powered passenger vessel. The primary objective is to optimize fuel efficiency, with particular attention to reducing hydrogen consumption. The analysis is carried out under typical operating conditions encountered during a river trip. Comparisons between the proposed strategy with other approaches —control-based, optimization-based and deterministic rule-based— are con-ducted to verify the effectiveness of the proposed strategy. Simulation results indicated that EMS based on fuzzy logic mechanisms was the most successful in reducing fuel consumption. The superior performance of this method stems from its ability to adaptively manage power distri-bution between the fuel cell and energy storage systems.
Keywords
fuel cell propulsion system; fuzzy logic control; energy management strategy; hybrid energy storage system; energy efficiency; ship electrification
Subject
Engineering, Marine Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
