Demand Profile Study of Battery Electric Vehicle under Different Charging Options

Francesco Marra; Guang Ya Yang; Chresten Træholt; Esben Larsen; Claus Nygaard Rasmussen; Shi You

doi:10.1109/PESGM.2012.6345063

Demand Profile Study of Battery Electric Vehicle under Different Charging Options

Francesco Marra, Guang Ya Yang, Chresten Træholt, Esben Larsen, Claus Nygaard Rasmussen, Shi You

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

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Abstract

An increased research on electric vehicles (EV) and plug-in hybrid electric vehicles (PHEV) deals with their flexible use in electric power grids. Several research projects on smart grids and electric mobility are now looking into realistic models representing the behavior of an EV during charging, including nonlinearities. In this work, modeling, simulation and testing of the demand profile of a battery-EV are conducted. Realistic work conditions for a lithium-ion EV battery and battery charger are considered as the base for the modeling. Simulation results show that EV charging generates different demand profiles into the grid, depending on the applied charging option. Moreover, a linear region for the control of EV chargers is identified in the range of 20-90% state-of-charge (SOC). Experiments validate the proposed model.

Original language	English
Title of host publication	Proceedings of the 2012 IEEE Power & Energy Society General Meeting
Number of pages	7
Publisher	IEEE
Publication date	2012
ISBN (Print)	9781467327275
DOIs	https://doi.org/10.1109/PESGM.2012.6345063
Publication status	Published - 2012
Event	2012 IEEE Power and Energy Society General Meeting - Manchester Grand Hyatt, San Diego, United States Duration: 22 Jul 2012 → 26 Jul 2012 http://pes-gm.org/2012/ https://ieeexplore.ieee.org/xpl/conhome/6330648/proceeding

Conference

Conference	2012 IEEE Power and Energy Society General Meeting
Location	Manchester Grand Hyatt
Country/Territory	United States
City	San Diego
Period	22/07/2012 → 26/07/2012
Internet address	http://pes-gm.org/2012/ https://ieeexplore.ieee.org/xpl/conhome/6330648/proceeding

Keywords

Charging
Demand profile
Electric vehicles
Modeling
Validation

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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@inproceedings{86897d1ff2c740dc87fe0a6ad8b57351,

title = "Demand Profile Study of Battery Electric Vehicle under Different Charging Options",

abstract = "An increased research on electric vehicles (EV) and plug-in hybrid electric vehicles (PHEV) deals with their flexible use in electric power grids. Several research projects on smart grids and electric mobility are now looking into realistic models representing the behavior of an EV during charging, including nonlinearities. In this work, modeling, simulation and testing of the demand profile of a battery-EV are conducted. Realistic work conditions for a lithium-ion EV battery and battery charger are considered as the base for the modeling. Simulation results show that EV charging generates different demand profiles into the grid, depending on the applied charging option. Moreover, a linear region for the control of EV chargers is identified in the range of 20-90% state-of-charge (SOC). Experiments validate the proposed model.",

keywords = "Charging, Demand profile, Electric vehicles, Modeling, Validation",

author = "Francesco Marra and Yang, {Guang Ya} and Chresten Tr{\ae}holt and Esben Larsen and Rasmussen, {Claus Nygaard} and Shi You",

year = "2012",

doi = "10.1109/PESGM.2012.6345063",

language = "English",

isbn = "9781467327275",

booktitle = "Proceedings of the 2012 IEEE Power & Energy Society General Meeting",

publisher = "IEEE",

address = "United States",

note = "2012 IEEE Power and Energy Society General Meeting, PESGM 2012 ; Conference date: 22-07-2012 Through 26-07-2012",

url = "http://pes-gm.org/2012/, https://ieeexplore.ieee.org/xpl/conhome/6330648/proceeding",

}

Marra, F, Yang, GY , Træholt, C , Larsen, E, Rasmussen, CN & You, S 2012, Demand Profile Study of Battery Electric Vehicle under Different Charging Options. in Proceedings of the 2012 IEEE Power & Energy Society General Meeting. IEEE, 2012 IEEE Power and Energy Society General Meeting, San Diego, California, United States, 22/07/2012. https://doi.org/10.1109/PESGM.2012.6345063

TY - GEN

T1 - Demand Profile Study of Battery Electric Vehicle under Different Charging Options

AU - Marra, Francesco

AU - Yang, Guang Ya

AU - Træholt, Chresten

AU - Larsen, Esben

AU - Rasmussen, Claus Nygaard

AU - You, Shi

PY - 2012

Y1 - 2012

N2 - An increased research on electric vehicles (EV) and plug-in hybrid electric vehicles (PHEV) deals with their flexible use in electric power grids. Several research projects on smart grids and electric mobility are now looking into realistic models representing the behavior of an EV during charging, including nonlinearities. In this work, modeling, simulation and testing of the demand profile of a battery-EV are conducted. Realistic work conditions for a lithium-ion EV battery and battery charger are considered as the base for the modeling. Simulation results show that EV charging generates different demand profiles into the grid, depending on the applied charging option. Moreover, a linear region for the control of EV chargers is identified in the range of 20-90% state-of-charge (SOC). Experiments validate the proposed model.

AB - An increased research on electric vehicles (EV) and plug-in hybrid electric vehicles (PHEV) deals with their flexible use in electric power grids. Several research projects on smart grids and electric mobility are now looking into realistic models representing the behavior of an EV during charging, including nonlinearities. In this work, modeling, simulation and testing of the demand profile of a battery-EV are conducted. Realistic work conditions for a lithium-ion EV battery and battery charger are considered as the base for the modeling. Simulation results show that EV charging generates different demand profiles into the grid, depending on the applied charging option. Moreover, a linear region for the control of EV chargers is identified in the range of 20-90% state-of-charge (SOC). Experiments validate the proposed model.

KW - Charging

KW - Demand profile

KW - Electric vehicles

KW - Modeling

KW - Validation

U2 - 10.1109/PESGM.2012.6345063

DO - 10.1109/PESGM.2012.6345063

M3 - Article in proceedings

SN - 9781467327275

BT - Proceedings of the 2012 IEEE Power & Energy Society General Meeting

PB - IEEE

T2 - 2012 IEEE Power and Energy Society General Meeting

Y2 - 22 July 2012 through 26 July 2012

ER -

Demand Profile Study of Battery Electric Vehicle under Different Charging Options

Abstract

Conference

Keywords

UN SDGs

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