Application of fuzzy logic in multi-mode driving for a battery electric vehicle energy management

T. A.T. Mohd, M. K. Hassan, Ishak Aris, C. S. Azura, B. S.K.K. Ibrahim

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)
56 Downloads (Pure)


Energy management system is an area of emerging interest in a full electric vehicle research. With the increasing moves to a more sustainable vehicle, there is a need to extend the battery range that simultaneously satisfying the conflicting demand between battery capacity and vehicle weight or volume. This paper presents a research conducted in the Universiti Putra Malaysia, focusing on the energy management strategy of a battery-powered electric vehicle. Three vehicle driving modes; sport, comfort, and eco have been individually modelled. Each mode is capable to dominate different driving environments; highway, suburban, and urban. In European driving cycle simulation test, comfort and eco modes have shown large extension in driving range with the maximum of 7.33% and 19.70% respectively. However the speeds have been confined by certain specific limits. The proposed of integrated multimode driving using fuzzy logic has enabled an adaptive driving by automatically select the driving parameters based on the speed conditions. The results have proven its ability in reducing the energy consumption as much as 32.25%, and increasing the driving range of 4.21% without downgrading the speed performance.

Original languageEnglish
Pages (from-to)284-290
Number of pages7
JournalInternational Journal on Advanced Science, Engineering and Information Technology
Issue number1
Publication statusPublished - 1 Jan 2017
Externally publishedYes

Bibliographical note

IJASEIT follows the open access policy that allows the published articles freely available online without any subscription.


  • Battery electric vehicle
  • Energy management
  • Fuzzy logic controller
  • Multi-mode driving

ASJC Scopus subject areas

  • Computer Science(all)
  • Agricultural and Biological Sciences(all)
  • Engineering(all)


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