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An FFT-based vibration characterization on road profile of two-wheeler electric vehicle

Sinergi · Vol. 29 No. 3 (2025) · pp. 833–844

DOI
10.22441/sinergi.2025.3.023
ISSN
2460-1217, 1410-2331
Published
2025-09-05
Publisher
Universitas Mercu Buana
Language
eng

Abstract

Vibration is an inevitable physical phenomenon; excessive and uncontrolled amounts of vibration can result in damage and system failure. In accordance with various automotive product certification standards, vehicle batteries or rechargeable electrical energy stotrage system (REESS) must undergo a vibration test to assess their mechanical integrity. This study aims to broaden the perspective on vibration assessment by examining it during vehicle operation and assessing the protective capabilities of vehicle suspension against vibrations from damaged roads in two-wheeled electric motor vehicles. The proposed method involves installing an accelerometer on the battery pack body placed in the battery compartment. The experimental setup involved conducting tests on a 125-meter track, with the vehicle traversing roads characterized by concrete cracks, uneven surfaces, and potholes. Two distinct speed variations were selected for analysis: 10 and 15 kilometers per hour. The results obtained from the Rion VA 12 portable vibration analyzer are presented as a plot of the fast Fourier transform (FFT) graph. The maximum acceleration recorded was 2.35 and 1.98 G at the same frequency of 7 hertz (Hz). This research method and result aligns with others, including those focused on assessing road damage, passenger comfort, and vehicle component damage, such as shock absorbers. In the future, the development of a vehicle battery support structure is anticipated to further minimize vibration disturbance by reducing the peak acceleration values depicted in the FFT graph. The minimization of incoming vibrations is expected to enhance the safety and durability of the battery pack.

Keywords

Collaboration network of the authors

32 authors · 116 co-authorship links

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

  • Mercu Buana University
  • Hasanuddin University
  • Sultan Agung Islamic University
  • Institut Agama Islam Negeri Kendari
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Dedik RomahadiAffiliation unknown9
Supaat ZakariaAffiliation unknown7
Nurato NuratoAffiliation unknown5
Andi AdriansyahMercu Buana University4
Abdi WahabAffiliation unknown4
Aberham Genetu FelekeAffiliation unknown3
Muhamad FitriAffiliation unknown3
Imam HidayatAffiliation unknown2
Nur IndahHasanuddin University2
Rachmat MuwardiAffiliation unknown2
Abdul Mutalib LemanAffiliation unknown2
Fajar AnggaraAffiliation unknown2
Alfian NoviyantoAffiliation unknown2
Samir Sani AbdulmalikAffiliation unknown2
Arief MarwantoSultan Agung Islamic University1
Suryani AlifahAffiliation unknown1
Lukman Abdul FatahAffiliation unknown1
Muhammad ImranInstitut Agama Islam Negeri Kendari1
Fathoni Putra WijayaAffiliation unknown1
Wang DongAffiliation unknown1
Agung Wahyudi BiantoroAffiliation unknown1
Tri Wahyu AdinartoAffiliation unknown1
Fatkur RachmanuAffiliation unknown1
SS. AbdulmalikAffiliation unknown1
Wiwit SuprihatiningsihAffiliation unknown1
Rikko Putra YouliaAffiliation unknown1
Rizky RahmatullahAffiliation unknown1

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) https://publikasi.mercubuana.ac.id/index.php/sinergi/oai, first harvested 10 Nov 2026, last seen 10 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en-US">An FFT-based vibration characterization on road profile of two-wheeler electric vehicle</dc:title>
	<dc:creator>Firmansyah, Mohamad Ardy</dc:creator>
	<dc:creator>Feriyanto, Dafit</dc:creator>
	<dc:creator>Firdaus, Himma</dc:creator>
	<dc:creator>Pranoto, Hadi</dc:creator>
	<dc:creator>Istiqomah, Istiqomah</dc:creator>
	<dc:subject xml:lang="en-US">Fast Fourier Transformation</dc:subject>
	<dc:subject xml:lang="en-US">REESS</dc:subject>
	<dc:subject xml:lang="en-US">Vibration</dc:subject>
	<dc:description xml:lang="en-US">Vibration is an inevitable physical phenomenon; excessive and uncontrolled amounts of vibration can result in damage and system failure. In accordance with various automotive product certification standards, vehicle batteries or rechargeable electrical energy stotrage system (REESS) must undergo a vibration test to assess their mechanical integrity. This study aims to broaden the perspective on vibration assessment by examining it during vehicle operation and assessing the protective capabilities of vehicle suspension against vibrations from damaged roads in two-wheeled electric motor vehicles. The proposed method involves installing an accelerometer on the battery pack body placed in the battery compartment. The experimental setup involved conducting tests on a 125-meter track, with the vehicle traversing roads characterized by concrete cracks, uneven surfaces, and potholes. Two distinct speed variations were selected for analysis: 10 and 15 kilometers per hour. The results obtained from the Rion VA 12 portable vibration analyzer are presented as a plot of the fast Fourier transform (FFT) graph. The maximum acceleration recorded was 2.35 and 1.98 G at the same frequency of 7 hertz (Hz). This research method and result aligns with others, including those focused on assessing road damage, passenger comfort, and vehicle component damage, such as shock absorbers. In the future, the development of a vehicle battery support structure is anticipated to further minimize vibration disturbance by reducing the peak acceleration values depicted in the FFT graph. The minimization of incoming vibrations is expected to enhance the safety and durability of the battery pack. </dc:description>
	<dc:publisher xml:lang="en-US">Universitas Mercu Buana</dc:publisher>
	<dc:date>2025-09-05</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en-US">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://publikasi.mercubuana.ac.id/index.php/sinergi/article/view/31864</dc:identifier>
	<dc:identifier>10.22441/sinergi.2025.3.023</dc:identifier>
	<dc:source xml:lang="en-US">SINERGI; Vol. 29 No. 3 (2025); 833-844</dc:source>
	<dc:source>2460-1217</dc:source>
	<dc:source>1410-2331</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://publikasi.mercubuana.ac.id/index.php/sinergi/article/view/31864/10081</dc:relation>
	<dc:relation>https://publikasi.mercubuana.ac.id/index.php/sinergi/article/view/31864/12257</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2025 SINERGI</dc:rights>
</oai_dc:dc>