An intelligent driver alerting system for real-time range indicator embedded in electric vehicles

Kaveh Sarrafan, Kashem M. Muttaqi, Danny Sutanto, Graham Town

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

8 Citations (Scopus)

Abstract

This paper proposes a state-of-the-art algorithm for a real time charging recommendation for an electric vehicle (EV) driver based on an accurate real-time range indicator system to avoid range anxiety. The charging recommendation algorithm alerts the driver when charging is deemed required for the selected route. This algorithm determines the nearest charging location obtained using GPS based on an accurate estimation of SoC at the destination and when charging determines the optimum charging time required by the battery to have sufficient energy to reach the destination. The graphical user interface (GUI) of the real-time range indicator system is also used to show the driver an accurate estimation of the remaining range to destination and the current state of charge (SoC). The results from simulations of a range of routes validate the proposed algorithm.

Original languageEnglish
Title of host publicationIEEE Industry Application Society, 52nd Annual Meeting: IAS 2016
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1-7
Number of pages7
ISBN (Electronic)9781467386715
DOIs
Publication statusPublished - 2 Nov 2016
Event52nd Annual Meeting on IEEE Industry Application Society, IAS 2016 - Portland, United States
Duration: 2 Oct 20166 Oct 2016

Other

Other52nd Annual Meeting on IEEE Industry Application Society, IAS 2016
CountryUnited States
CityPortland
Period2/10/166/10/16

Keywords

  • Charging recommendation system
  • Electric vehicle
  • Energy management
  • Real-time range estimation model
  • State of charge estimation

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