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

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

doi:10.1109/IAS.2016.7731820

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

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

School of Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

9 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 language	English
Title of host publication	IEEE Industry Application Society, 52nd Annual Meeting: IAS 2016
Place of Publication	Piscataway, NJ
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	1-7
Number of pages	7
ISBN (Electronic)	9781467386715
DOIs	https://doi.org/10.1109/IAS.2016.7731820
Publication status	Published - 2 Nov 2016
Event	52nd Annual Meeting on IEEE Industry Application Society, IAS 2016 - Portland, United States Duration: 2 Oct 2016 → 6 Oct 2016

Other

Other	52nd Annual Meeting on IEEE Industry Application Society, IAS 2016
Country/Territory	United States
City	Portland
Period	2/10/16 → 6/10/16

Keywords

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

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10.1109/IAS.2016.7731820

Cite this

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title = "An intelligent driver alerting system for real-time range indicator embedded in electric vehicles",

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.",

keywords = "Charging recommendation system, Electric vehicle, Energy management, Real-time range estimation model, State of charge estimation",

author = "Kaveh Sarrafan and Muttaqi, {Kashem M.} and Danny Sutanto and Graham Town",

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doi = "10.1109/IAS.2016.7731820",

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pages = "1--7",

booktitle = "IEEE Industry Application Society, 52nd Annual Meeting: IAS 2016",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

note = "52nd Annual Meeting on IEEE Industry Application Society, IAS 2016 ; Conference date: 02-10-2016 Through 06-10-2016",

}

Sarrafan, K, Muttaqi, KM, Sutanto, D & Town, G 2016, An intelligent driver alerting system for real-time range indicator embedded in electric vehicles. in IEEE Industry Application Society, 52nd Annual Meeting: IAS 2016., 7731820, Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, pp. 1-7, 52nd Annual Meeting on IEEE Industry Application Society, IAS 2016, Portland, United States, 2/10/16. https://doi.org/10.1109/IAS.2016.7731820

An intelligent driver alerting system for real-time range indicator embedded in electric vehicles. / Sarrafan, Kaveh; Muttaqi, Kashem M.; Sutanto, Danny et al.
IEEE Industry Application Society, 52nd Annual Meeting: IAS 2016. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2016. p. 1-7 7731820.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

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AB - 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.

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

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