System-level design optimization of a hybrid tug

T. Hofman, M. Naaborg, E. Sciberras

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

1 Citation (Scopus)
2 Downloads (Pure)

Abstract

Designing a new vessel is a complex multi-objective design process. It involves knowledge from different fields, like naval architecture and mechanical engineering. Assessment of an optimal design for more complex topologies than a conventional Diesel powertrain becomes more difficult due to the increased number of powertrain components and feasible combinations. The purpose of this work is to present a system-level design methodology, which speeds up the component sizing and control for a powertrain topology. This system-level design problem is formulated into the minimization of a cost function. The cost function consists of the costs of the different powertrain components together with the operational costs over a specified operational profile. For the sizing of the battery and control parameters, the use of a convex optimization algorithm ensures a global optimum is found very quickly in the search space at relatively low-computational effort. For the ON/OFF switching of the Diesel engine and the Diesel generator set, an iterative scheme using convex and mixed-integer optimization is proposed. Here, without loss of generality, the optimization case study is presented for a hybrid tug.

Original languageEnglish
Title of host publication2017 IEEE Vehicle Power and Propulsion Conference, VPPC 2017 - Proceedings
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Pages1-6
Number of pages6
ISBN (Electronic)978-1-5386-1317-7
ISBN (Print)978-1-5386-1318-4
DOIs
Publication statusPublished - 15 Dec 2017
Event14th IEEE Vehicle Power and Propulsion Conference (VPPC 2017) - Belfort, France
Duration: 14 Dec 201717 Dec 2017
Conference number: 14

Conference

Conference14th IEEE Vehicle Power and Propulsion Conference (VPPC 2017)
Abbreviated titleVPPC 2017
CountryFrance
CityBelfort
Period14/12/1717/12/17

Keywords

  • Convex modeling
  • Dynamic Programming
  • Hybrid Electric Ships
  • Mixed-integer problem
  • Optimal Control
  • Optimization
  • Powertrains

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