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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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Official URL: https://doi.org/10.1109/CoDIT.2018.8394785

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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)
Subjects: T Technology > TL Motor vehicles. Aeronautics. Astronautics
V Naval Science > VM Naval architecture. Shipbuilding. Marine engineering
Divisions: Faculty of Science, Engineering and Medicine > Engineering > 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
Dates:
DateEvent
25 June 2018Published
1 February 2018Accepted
DOI: 10.1109/CoDIT.2018.8394785
Status: Peer Reviewed
Publication Status: Published
Reuse Statement (publisher, data, author rights): © 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
Date of first compliant deposit: 17 April 2018
Date of first compliant Open Access: 30 April 2018
RIOXX Funder/Project Grant:
Project/Grant IDRIOXX Funder NameFunder ID
102437Innovate UKhttp://dx.doi.org/10.13039/501100006041
UNSPECIFIEDWarwick Manufacturing Grouphttp://viaf.org/viaf/123628346
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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