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

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

Research output: Contribution to journalArticle

15 Citations (Scopus)

Abstract

This paper proposes a state-of-the-art algorithm for a real-time charging recommendation for an electric vehicle 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 state of charge (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 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 SoC. The results from simulations of a range of routes validate the proposed algorithm.

Original languageEnglish
Article number7833157
Pages (from-to)1751-1760
Number of pages10
JournalIEEE Transactions on Industry Applications
Volume53
Issue number3
DOIs
Publication statusPublished - May 2017

Keywords

  • Charging recommendation system
  • electric vehicle (EV)
  • energy management
  • real-time range estimation model
  • state-of-charge (SoC) estimation

Fingerprint Dive into the research topics of 'An intelligent driver alerting system for real-time range indicator embedded in electric vehicles'. Together they form a unique fingerprint.

  • Cite this