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An energy management strategy for DC hybrid electric propulsion system of marine vessels
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Truong, M. N. B., Truong, Dinh Quang, Marco, James and Watts, Chris (2018) An energy management strategy for DC hybrid electric propulsion system of marine vessels. In: IEEE International Conference on Control, Decision and Information Technologies, Thessaloniki, Greece, 10-13 Apr 2018. Published in: 2018 5th International Conference on Control, Decision and Information Technologies (CoDIT) ISBN 9781538650646. doi:10.1109/CoDIT.2018.8394785
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WRAP-energy-management-strategy-DC-Hybrid-Marco-2018.pdf - Accepted Version - Requires a PDF viewer. Download (3131Kb) | Preview |
Official URL: https://doi.org/10.1109/CoDIT.2018.8394785
Abstract
Hybrid propulsion systems with DC distribution for marine applications are attracting interest due to the critical demands to reduce the fuel consumption and emissions of conventional marine vessels. To enhance the potential of these hybrid systems, it is essential to develop an energy management strategy (EMS) to distribute the required power properly between various components of the hybrid system. This paper therefore aims to develop an efficient EMS for DC hybrid electric marine vessels (HEMVs). The proposed EMS builds a set of operation rules which are based on the system states including power demands, engine states and battery performances to minimize the total consumed energy of the system and thus increase the power efficiency. The performance of the proposed EMS has been validated through numerical simulations.
| Item Type: | Conference Item (Paper) | |||||||||
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| Subjects: | T Technology > TL Motor vehicles. Aeronautics. Astronautics V Naval Science > VM Naval architecture. Shipbuilding. Marine engineering |
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| Divisions: | Faculty of Science > WMG (Formerly the Warwick Manufacturing Group) | |||||||||
| Library of Congress Subject Headings (LCSH): | Ships -- Design and construction, Hybrid electric vehicles | |||||||||
| Journal or Publication Title: | 2018 5th International Conference on Control, Decision and Information Technologies (CoDIT) | |||||||||
| Publisher: | IEEE | |||||||||
| ISBN: | 9781538650646 | |||||||||
| Official Date: | 25 June 2018 | |||||||||
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| DOI: | 10.1109/CoDIT.2018.8394785 | |||||||||
| Status: | Peer Reviewed | |||||||||
| Publication Status: | Published | |||||||||
| Publisher Statement: | © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | |||||||||
| Access rights to Published version: | Restricted or Subscription Access | |||||||||
| RIOXX Funder/Project Grant: |
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| Conference Paper Type: | Paper | |||||||||
| Title of Event: | IEEE International Conference on Control, Decision and Information Technologies | |||||||||
| Type of Event: | Conference | |||||||||
| Location of Event: | Thessaloniki, Greece | |||||||||
| Date(s) of Event: | 10-13 Apr 2018 | |||||||||
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