An ECMS for Multi-Objective Energy Management Strategy of Parallel Diesel Electric Hybrid Ship Based...
An ECMS for Multi-Objective Energy Management Strategy of Parallel Diesel Electric Hybrid Ship Based on Ant Colony Optimization Algorithm
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Publisher
Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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Contents
In order to reduce fuel consumption and reduce the deviation between the final battery state-of-charge (SOC) value and the target value at the same time, a novel double-layer multi-objective optimization method is proposed, which adopts an improved ant colony optimization (ACO) algorithm and the equivalent fuel consumption minimization strategy (EC...
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Full title
An ECMS for Multi-Objective Energy Management Strategy of Parallel Diesel Electric Hybrid Ship Based on Ant Colony Optimization Algorithm
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TN_cdi_doaj_primary_oai_doaj_org_article_060086546f4248b9a143766aacf2b443
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_060086546f4248b9a143766aacf2b443
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ISSN
1996-1073
E-ISSN
1996-1073
DOI
10.3390/en14040810