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Design and simulation of a TTRH-EV supervisory controller for a proton SAGA 1.3

International Journal of Power Electronics and Drive Systems · Vol. 14 No. 4 (2023) · pp. 1995–2009

DOI
10.11591/ijpeds.v14.i4.pp1995-2009
ISSN
2722-256X, 2088-8694
Published
2023-12-01
Publisher
Institute of Advanced Engineering and Science
Language
eng
License
creativecommons.org/licenses/by-sa/4.0

Abstract

This paper presents modeling and control design steps towards the vehicle hybridization process. The objectives are: a) to model a retrofitted proton SAGA, which is a through-the-road HEV; and b) to design and implement a supervisory control unit for this vehicle. The electric powertrain components required for conversion are sized using the ADVISOR software package. Physical models of both powertrains were modeled using the MATLAB Simscape toolbox and validated for their fidelity. A supervisory controller design and implementation for retrofitted TTRH-EV SAGA is based on the BSFC map and OOL of the engine. The control objective is to restrict engine operation within its optimum window. The controller was implemented using the MATLAB Stateflow toolbox. The complete model of the retrofitted TTRH-EV SAGA, together with the supervisory controller, was tested using standard drive cycles, and the results are presented.

Keywords

Collaboration network of the authors

40 authors · 105 co-authorship links · 38 across different organisations · showing the 40 most connected

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

  • University of Technology Malaysia
  • Universiti Teknikal Malaysia Melaka
  • Islamic Azad University, Tehran
  • Universitas Ahmad Dahlan
  • Diponegoro University
  • Universiti Malaysia Perlis
  • Universiti Sains Malaysia
  • Other organisations
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Auzani JidinUniversiti Teknikal Malaysia Melaka35
Mohammad JannatiUniversity of Technology Malaysia30
Mohd Hatta JopriUniversiti Teknikal Malaysia Melaka15
Awang JusohUniversity of Technology Malaysia15
Nik Rumzi Nik IdrisAffiliation unknown14
Mustafa ManapUniversiti Teknikal Malaysia Melaka10
Kasrul Abdul KarimAffiliation unknown9
Lina HandayaniUniversitas Ahmad Dahlan8
Mohamed SalemUniversiti Sains Malaysia8
Mahmoud ZadehbagheriIslamic Azad University, Tehran8
Abdul Rahim AbdullahUniversiti Teknikal Malaysia Melaka6
Mochammad FactaDiponegoro University6
Mohammad Javad KianiIslamic Azad University, Tehran5
Shahreen KasimAffiliation unknown5
Watra ArsadiandoAffiliation unknown5
Mohammad Faridun Naim TajuddinUniversiti Malaysia Perlis5
Mohd Junaidi Abdul AzizAffiliation unknown5
Shahrin Md AyobAffiliation unknown5
Imam Much Ibnu SubrotoSultan Agung Islamic University4
M. Rahimi YusoffUniversiti Teknikal Malaysia Melaka4
Muhammad AdoUniversity of Technology Malaysia4
Hendril Satrian PurnamaAffiliation unknown4
Anggit PamungkasAffiliation unknown4
Vahdat NazerianUniversity of Mazandaran4
Muhammad Zaid AihsanUniversiti Malaysia Perlis4
Chibuike Peter OhanuUniversity of Nigeria4
Tri WahonoAffiliation unknown4
Rahim IldarabadiAffiliation unknown4
Azralmukmin AzmiAffiliation unknown4
Siti Azura Ahmad TarusanAffiliation unknown4
Ibrahim AlhamrouniAffiliation unknown4
Aiman Zakwan JidinAffiliation unknown4
Munawar Agus RiyadiDiponegoro University3
Deris StiawanSriwijaya University3
Shahreen binti KasimTun Hussein Onn University of Malaysia3
Mehdi DadkhahIslamic Azad University, Tehran3

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.

Metadata source: OAI-PMH (metadata jurnal) http://ijpeds.iaescore.com/index.php/IJPEDS/oai, first harvested 8 Nov 2026, last seen 8 Nov 2026.
Original metadata (oai_dc)
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	<dc:title xml:lang="en-US">Design and simulation of a TTRH-EV supervisory controller for a proton SAGA 1.3</dc:title>
	<dc:creator>Anbaran, Sajjad Abdollahzadeh</dc:creator>
	<dc:creator>Idris, Nik Rumzi Nik</dc:creator>
	<dc:creator>Aziz, Mohd Junaidi Abdul</dc:creator>
	<dc:creator>Sutikno, Tole</dc:creator>
	<dc:subject xml:lang="en-US">hybrid electric vehicle; MATLAB-Simscape; retrofitted hybrid EV; supervisory control; through-the-road hybrid EV</dc:subject>
	<dc:description xml:lang="en-US">This paper presents modeling and control design steps towards the vehicle hybridization process. The objectives are: a) to model a retrofitted proton SAGA, which is a through-the-road HEV; and b) to design and implement a supervisory control unit for this vehicle. The electric powertrain components required for conversion are sized using the ADVISOR software package. Physical models of both powertrains were modeled using the MATLAB Simscape toolbox and validated for their fidelity. A supervisory controller design and implementation for retrofitted TTRH-EV SAGA is based on the BSFC map and OOL of the engine. The control objective is to restrict engine operation within its optimum window. The controller was implemented using the MATLAB Stateflow toolbox. The complete model of the retrofitted TTRH-EV SAGA, together with the supervisory controller, was tested using standard drive cycles, and the results are presented.</dc:description>
	<dc:publisher xml:lang="en-US">Institute of Advanced Engineering and Science</dc:publisher>
	<dc:contributor xml:lang="en-US"></dc:contributor>
	<dc:date>2023-12-01</dc:date>
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	<dc:identifier>https://ijpeds.iaescore.com/index.php/IJPEDS/article/view/22731</dc:identifier>
	<dc:identifier>10.11591/ijpeds.v14.i4.pp1995-2009</dc:identifier>
	<dc:source xml:lang="en-US">International Journal of Power Electronics and Drive Systems (IJPEDS); Vol 14, No 4: December 2023; 1995-2009</dc:source>
	<dc:source>2722-256X</dc:source>
	<dc:source>2088-8694</dc:source>
	<dc:source>10.11591/ijpeds.v14.i4</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ijpeds.iaescore.com/index.php/IJPEDS/article/view/22731/14390</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2023 Sajjad Abdollahzadeh Anbaran, Nik Rumzi Nik Idris, Mohd Junaidi Abdul Aziz, Tole Sutikno</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
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