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A Study on PHERB Powertrain Modeling and Analysis

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 8 No. 3 (2018)

DOI
10.11591/ijece.v8i3.pp1822-1829
ISSN
2088-8708, 2088-8708
Published
2018-06-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-nc/4.0

Abstract

A study on plug-in hybrid electric recreational boat (PHERB) powertrain with a special energy management strategy modeling and analysis was presented in this paper. Firstly, the boat components are sized to meet the expected power and energy requirements through a power flow analysis. Then, the model is tested numerically in the MATLAB/SIMULINK environment using the existing driving cycle. The accuracy of the model is verified by a comparison of the component between the simulation results from PHERB and advanced vehicle simulator (ADVISOR) software. The simulation results of component, fuel economy and emission of PHERB and hybrid electric vehicle models in ADVISOR are compared.

Collaboration network of the authors

9 authors · 17 co-authorship links

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Universiti Malaysia Terengganu
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
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Co-authorOrganisationJoint articles
I. N. AnidaUniversiti Malaysia Terengganu1
A. R. SalisaUniversiti Malaysia Terengganu1
M. I. NordiyanaUniversiti Malaysia Terengganu1
Ahmad Faisal Mohamad AyobUniversiti Malaysia Terengganu1
Arunkumar SubramaniamUniversiti Malaysia Terengganu1
Nurru Anida IbrahimUniversiti Malaysia Terengganu1
Siti Norbakyah JabarUniversiti Malaysia Terengganu1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.

Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2088-8708/works, first harvested 27 Okt 2026, last seen 27 Okt 2026.
Metadata as oai_dc, converted from Crossref 
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