Quantifying electric vehicle battery degradation from driving vs. V2G services

Dai Wang; Samveg Saxena; Jonathan Coignard; Elpiniki Apostolaki Iosifidou; Xiaohong Guan

doi:10.1109/PESGM.2016.7741180

Quantifying electric vehicle battery degradation from driving vs. V2G services

Dai Wang
, Samveg Saxena
, Jonathan Coignard
, Elpiniki Apostolaki Iosifidou
, Xiaohong Guan

Faculty of Electronic and Information Engineering

LBL

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

10 Scopus citations

Abstract

Concerns about electric vehicle (EV) battery degradation hinders the implementation of Vehicle-to-Grid(V2G) technology. In this paper, a methodology is proposed to quantify EV battery degradation from driving only vs. driving and V2G services, based on a semi-empirical lithium-ion battery degradation model. A detailed EV battery pack thermal model and EV powertrain model are utilized to capture the battery temperature and working parameters including current, internal resistance and state-of-charge (SOC). We use the proposed method to simulate the battery degradation of three EVs for ten years. Simulation results show that grid discharge at power rates typical for vehicle charging and discharging will have only minor effects on battery degradation in comparison to the degradation incurred from driving and calendar aging.

Original language	English
Title of host publication	2016 IEEE Power and Energy Society General Meeting, PESGM 2016
Publisher	IEEE Computer Society
ISBN (Electronic)	9781509041688
DOIs	https://doi.org/10.1109/PESGM.2016.7741180
State	Published - 10 Nov 2016
Event	2016 IEEE Power and Energy Society General Meeting, PESGM 2016 - Boston, United States Duration: 17 Jul 2016 → 21 Jul 2016

Publication series

Name	IEEE Power and Energy Society General Meeting
Volume	2016-November
ISSN (Print)	1944-9925
ISSN (Electronic)	1944-9933

Conference

Conference	2016 IEEE Power and Energy Society General Meeting, PESGM 2016
Country/Territory	United States
City	Boston
Period	17/07/16 → 21/07/16

UN SDGs

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

SDG 7 Affordable and Clean Energy

Access to Document

10.1109/PESGM.2016.7741180

Cite this

@inproceedings{6b750009a9074272a0cfd0c4b0bd5913,

title = "Quantifying electric vehicle battery degradation from driving vs. V2G services",

abstract = "Concerns about electric vehicle (EV) battery degradation hinders the implementation of Vehicle-to-Grid(V2G) technology. In this paper, a methodology is proposed to quantify EV battery degradation from driving only vs. driving and V2G services, based on a semi-empirical lithium-ion battery degradation model. A detailed EV battery pack thermal model and EV powertrain model are utilized to capture the battery temperature and working parameters including current, internal resistance and state-of-charge (SOC). We use the proposed method to simulate the battery degradation of three EVs for ten years. Simulation results show that grid discharge at power rates typical for vehicle charging and discharging will have only minor effects on battery degradation in comparison to the degradation incurred from driving and calendar aging.",

author = "Dai Wang and Samveg Saxena and Jonathan Coignard and Iosifidou, \{Elpiniki Apostolaki\} and Xiaohong Guan",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE Power and Energy Society General Meeting, PESGM 2016 ; Conference date: 17-07-2016 Through 21-07-2016",

year = "2016",

month = nov,

day = "10",

doi = "10.1109/PESGM.2016.7741180",

language = "英语",

series = "IEEE Power and Energy Society General Meeting",

publisher = "IEEE Computer Society",

booktitle = "2016 IEEE Power and Energy Society General Meeting, PESGM 2016",

}

Wang, D, Saxena, S, Coignard, J, Iosifidou, EA & Guan, X 2016, Quantifying electric vehicle battery degradation from driving vs. V2G services. in 2016 IEEE Power and Energy Society General Meeting, PESGM 2016., 7741180, IEEE Power and Energy Society General Meeting, vol. 2016-November, IEEE Computer Society, 2016 IEEE Power and Energy Society General Meeting, PESGM 2016, Boston, United States, 17/07/16. https://doi.org/10.1109/PESGM.2016.7741180

Quantifying electric vehicle battery degradation from driving vs. V2G services. / Wang, Dai; Saxena, Samveg; Coignard, Jonathan et al.
2016 IEEE Power and Energy Society General Meeting, PESGM 2016. IEEE Computer Society, 2016. 7741180 (IEEE Power and Energy Society General Meeting; Vol. 2016-November).

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

TY - GEN

T1 - Quantifying electric vehicle battery degradation from driving vs. V2G services

AU - Wang, Dai

AU - Saxena, Samveg

AU - Coignard, Jonathan

AU - Iosifidou, Elpiniki Apostolaki

AU - Guan, Xiaohong

PY - 2016/11/10

Y1 - 2016/11/10

N2 - Concerns about electric vehicle (EV) battery degradation hinders the implementation of Vehicle-to-Grid(V2G) technology. In this paper, a methodology is proposed to quantify EV battery degradation from driving only vs. driving and V2G services, based on a semi-empirical lithium-ion battery degradation model. A detailed EV battery pack thermal model and EV powertrain model are utilized to capture the battery temperature and working parameters including current, internal resistance and state-of-charge (SOC). We use the proposed method to simulate the battery degradation of three EVs for ten years. Simulation results show that grid discharge at power rates typical for vehicle charging and discharging will have only minor effects on battery degradation in comparison to the degradation incurred from driving and calendar aging.

AB - Concerns about electric vehicle (EV) battery degradation hinders the implementation of Vehicle-to-Grid(V2G) technology. In this paper, a methodology is proposed to quantify EV battery degradation from driving only vs. driving and V2G services, based on a semi-empirical lithium-ion battery degradation model. A detailed EV battery pack thermal model and EV powertrain model are utilized to capture the battery temperature and working parameters including current, internal resistance and state-of-charge (SOC). We use the proposed method to simulate the battery degradation of three EVs for ten years. Simulation results show that grid discharge at power rates typical for vehicle charging and discharging will have only minor effects on battery degradation in comparison to the degradation incurred from driving and calendar aging.

UR - https://www.scopus.com/pages/publications/85002262358

U2 - 10.1109/PESGM.2016.7741180

DO - 10.1109/PESGM.2016.7741180

M3 - 会议稿件

AN - SCOPUS:85002262358

T3 - IEEE Power and Energy Society General Meeting

BT - 2016 IEEE Power and Energy Society General Meeting, PESGM 2016

PB - IEEE Computer Society

T2 - 2016 IEEE Power and Energy Society General Meeting, PESGM 2016

Y2 - 17 July 2016 through 21 July 2016

ER -

Quantifying electric vehicle battery degradation from driving vs. V2G services

Abstract

Publication series

Conference

UN SDGs

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