Map-based linear estimation of drive cycle for hybrid electric vehicles

Arash Zargham Nejad; Sara Deilami; Mohammad A. S. Masoum; Navid Haghdadi

doi:10.1109/AUPEC.2015.7324873

Map-based linear estimation of drive cycle for hybrid electric vehicles

Arash Zargham Nejad, Sara Deilami, Mohammad A. S. Masoum, Navid Haghdadi

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

3 Citations (Scopus)

Abstract

Applications of hybrid electric vehicles (HEVs) and plug-in electric vehicles (PEVs) in modern power grids are increasing due to the growing concerns about environmental issues and unpredictable fuel prices. However, detailed information on drivers' behaviors which is required for vehicle control and management is not widely available. This paper presents a map-based linear estimation approach to estimate the drive cycles of hybrid electric vehicles (HEVs). It is shown that knowing geological data of the vehicle, a linear estimation of drive cycle is possible. Detailed simulations are presented to investigate the accuracy of the linear estimation compared with the real drive cycles. Simulation results are presented and analyzed for the linear estimations of two typical drive cycles including the highway fuel economy test (HWFET) cycle and the New York City cycle (NYCC).

Original language	English
Title of host publication	2015 Australasian Universities Power Engineering Conference (AUPEC)
Place of Publication	Piscataway, NJ
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Number of pages	5
ISBN (Electronic)	9781479987252, 9781479987245
DOIs	https://doi.org/10.1109/AUPEC.2015.7324873
Publication status	Published - 2015
Externally published	Yes
Event	25th Australasian Universities Power Engineering Conference, AUPEC 2015 - Wollongong, Australia Duration: 27 Sept 2015 → 30 Sept 2015

Other

Other	25th Australasian Universities Power Engineering Conference, AUPEC 2015
Country/Territory	Australia
City	Wollongong
Period	27/09/15 → 30/09/15

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10.1109/AUPEC.2015.7324873

Cite this

@inproceedings{645f2e311f5641bbb83f3dc849292e50,

title = "Map-based linear estimation of drive cycle for hybrid electric vehicles",

abstract = "Applications of hybrid electric vehicles (HEVs) and plug-in electric vehicles (PEVs) in modern power grids are increasing due to the growing concerns about environmental issues and unpredictable fuel prices. However, detailed information on drivers' behaviors which is required for vehicle control and management is not widely available. This paper presents a map-based linear estimation approach to estimate the drive cycles of hybrid electric vehicles (HEVs). It is shown that knowing geological data of the vehicle, a linear estimation of drive cycle is possible. Detailed simulations are presented to investigate the accuracy of the linear estimation compared with the real drive cycles. Simulation results are presented and analyzed for the linear estimations of two typical drive cycles including the highway fuel economy test (HWFET) cycle and the New York City cycle (NYCC).",

author = "Nejad, {Arash Zargham} and Sara Deilami and Masoum, {Mohammad A. S.} and Navid Haghdadi",

year = "2015",

doi = "10.1109/AUPEC.2015.7324873",

language = "English",

booktitle = "2015 Australasian Universities Power Engineering Conference (AUPEC)",

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

address = "United States",

note = "25th Australasian Universities Power Engineering Conference, AUPEC 2015 ; Conference date: 27-09-2015 Through 30-09-2015",

}

Nejad, AZ, Deilami, S, Masoum, MAS & Haghdadi, N 2015, Map-based linear estimation of drive cycle for hybrid electric vehicles. in 2015 Australasian Universities Power Engineering Conference (AUPEC). Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, 25th Australasian Universities Power Engineering Conference, AUPEC 2015, Wollongong, Australia, 27/09/15. https://doi.org/10.1109/AUPEC.2015.7324873

Map-based linear estimation of drive cycle for hybrid electric vehicles. / Nejad, Arash Zargham; Deilami, Sara; Masoum, Mohammad A. S. et al.
2015 Australasian Universities Power Engineering Conference (AUPEC). Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2015.

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

TY - GEN

T1 - Map-based linear estimation of drive cycle for hybrid electric vehicles

AU - Nejad, Arash Zargham

AU - Deilami, Sara

AU - Masoum, Mohammad A. S.

AU - Haghdadi, Navid

PY - 2015

Y1 - 2015

N2 - Applications of hybrid electric vehicles (HEVs) and plug-in electric vehicles (PEVs) in modern power grids are increasing due to the growing concerns about environmental issues and unpredictable fuel prices. However, detailed information on drivers' behaviors which is required for vehicle control and management is not widely available. This paper presents a map-based linear estimation approach to estimate the drive cycles of hybrid electric vehicles (HEVs). It is shown that knowing geological data of the vehicle, a linear estimation of drive cycle is possible. Detailed simulations are presented to investigate the accuracy of the linear estimation compared with the real drive cycles. Simulation results are presented and analyzed for the linear estimations of two typical drive cycles including the highway fuel economy test (HWFET) cycle and the New York City cycle (NYCC).

AB - Applications of hybrid electric vehicles (HEVs) and plug-in electric vehicles (PEVs) in modern power grids are increasing due to the growing concerns about environmental issues and unpredictable fuel prices. However, detailed information on drivers' behaviors which is required for vehicle control and management is not widely available. This paper presents a map-based linear estimation approach to estimate the drive cycles of hybrid electric vehicles (HEVs). It is shown that knowing geological data of the vehicle, a linear estimation of drive cycle is possible. Detailed simulations are presented to investigate the accuracy of the linear estimation compared with the real drive cycles. Simulation results are presented and analyzed for the linear estimations of two typical drive cycles including the highway fuel economy test (HWFET) cycle and the New York City cycle (NYCC).

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DO - 10.1109/AUPEC.2015.7324873

M3 - Conference proceeding contribution

AN - SCOPUS:84962467441

BT - 2015 Australasian Universities Power Engineering Conference (AUPEC)

PB - Institute of Electrical and Electronics Engineers (IEEE)

CY - Piscataway, NJ

T2 - 25th Australasian Universities Power Engineering Conference, AUPEC 2015

Y2 - 27 September 2015 through 30 September 2015

ER -

Map-based linear estimation of drive cycle for hybrid electric vehicles

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