Temperature characteristics research on LiFePO4 cells series battery pack in electric vehicles

Fei Feng; Rengui Lu; Shaojie Zhang; Chunbo Zhu; Guo Wei

doi:10.1007/978-3-662-45286-8_48

Temperature characteristics research on LiFePO₄ cells series battery pack in electric vehicles

Fei Feng
, Rengui Lu
, Shaojie Zhang
, Chunbo Zhu^*
, Guo Wei

^*Corresponding author for this work

School of Electrical Engineering and Automation, Harbin Institute of Technology

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

1 Scopus citations

Abstract

Due to cell-to-cell variations in battery pack, it is hard to manage cells of the battery pack safely and effectively. As a result, the battery pack performance is rapidly degraded, which in turn spread the differences in individual cells. Ambient temperature is a significant factor that influences characteristics of lithium-ion battery and cells variations in the pack. This paper tries to put effort on researching the temperature characteristics of cells series battery pack. The battery model parameters identification tests are designed to analyze the inconsistency characteristics of cells (such as open circuit voltage (OCV), ohmic and polarization resistances, and polarization capacitance) under various ambient temperatures. The results indicate that ohmic and polarization resistances are most significantly increased as the temperature decreases, while the opposite is true for OCV. The variation of cells inconsistency characteristics is obvious along with the temperature change.

Original language	English
Title of host publication	Intelligent Computing in Smart Grid and Electrical Vehicles - International Conference on Life System Modeling and Simulation, LSMS 2014 and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2014, Proceedings
Editors	Kang Li, Yusheng Xue, Shumei Cui, Qun Niu
Publisher	Springer Verlag
Pages	460-468
Number of pages	9
ISBN (Electronic)	9783662452851
DOIs	https://doi.org/10.1007/978-3-662-45286-8_48
State	Published - 2014
Externally published	Yes

Publication series

Name	Communications in Computer and Information Science
Volume	463
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Ambient temperature
Battery pack
Capacity
LiFePO
Open circuit voltage (OCV)
Resistance

Access to Document

10.1007/978-3-662-45286-8_48

Cite this

Feng, F., Lu, R., Zhang, S., Zhu, C., & Wei, G. (2014). Temperature characteristics research on LiFePO₄ cells series battery pack in electric vehicles. In K. Li, Y. Xue, S. Cui, & Q. Niu (Eds.), Intelligent Computing in Smart Grid and Electrical Vehicles - International Conference on Life System Modeling and Simulation, LSMS 2014 and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2014, Proceedings (pp. 460-468). (Communications in Computer and Information Science; Vol. 463). Springer Verlag. https://doi.org/10.1007/978-3-662-45286-8_48

Feng, Fei ; Lu, Rengui ; Zhang, Shaojie et al. / Temperature characteristics research on LiFePO₄ cells series battery pack in electric vehicles. Intelligent Computing in Smart Grid and Electrical Vehicles - International Conference on Life System Modeling and Simulation, LSMS 2014 and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2014, Proceedings. editor / Kang Li ; Yusheng Xue ; Shumei Cui ; Qun Niu. Springer Verlag, 2014. pp. 460-468 (Communications in Computer and Information Science).

@inbook{2c57dad91f734cf1aa914d807324f239,

title = "Temperature characteristics research on LiFePO4 cells series battery pack in electric vehicles",

abstract = "Due to cell-to-cell variations in battery pack, it is hard to manage cells of the battery pack safely and effectively. As a result, the battery pack performance is rapidly degraded, which in turn spread the differences in individual cells. Ambient temperature is a significant factor that influences characteristics of lithium-ion battery and cells variations in the pack. This paper tries to put effort on researching the temperature characteristics of cells series battery pack. The battery model parameters identification tests are designed to analyze the inconsistency characteristics of cells (such as open circuit voltage (OCV), ohmic and polarization resistances, and polarization capacitance) under various ambient temperatures. The results indicate that ohmic and polarization resistances are most significantly increased as the temperature decreases, while the opposite is true for OCV. The variation of cells inconsistency characteristics is obvious along with the temperature change.",

keywords = "Ambient temperature, Battery pack, Capacity, LiFePO, Open circuit voltage (OCV), Resistance",

author = "Fei Feng and Rengui Lu and Shaojie Zhang and Chunbo Zhu and Guo Wei",

note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2014.",

year = "2014",

doi = "10.1007/978-3-662-45286-8\_48",

language = "英语",

series = "Communications in Computer and Information Science",

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pages = "460--468",

editor = "Kang Li and Yusheng Xue and Shumei Cui and Qun Niu",

booktitle = "Intelligent Computing in Smart Grid and Electrical Vehicles - International Conference on Life System Modeling and Simulation, LSMS 2014 and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2014, Proceedings",

address = "德国",

}

Feng, F, Lu, R, Zhang, S, Zhu, C & Wei, G 2014, Temperature characteristics research on LiFePO₄ cells series battery pack in electric vehicles. in K Li, Y Xue, S Cui & Q Niu (eds), Intelligent Computing in Smart Grid and Electrical Vehicles - International Conference on Life System Modeling and Simulation, LSMS 2014 and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2014, Proceedings. Communications in Computer and Information Science, vol. 463, Springer Verlag, pp. 460-468. https://doi.org/10.1007/978-3-662-45286-8_48

Temperature characteristics research on LiFePO₄ cells series battery pack in electric vehicles. / Feng, Fei; Lu, Rengui; Zhang, Shaojie et al.
Intelligent Computing in Smart Grid and Electrical Vehicles - International Conference on Life System Modeling and Simulation, LSMS 2014 and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2014, Proceedings. ed. / Kang Li; Yusheng Xue; Shumei Cui; Qun Niu. Springer Verlag, 2014. p. 460-468 (Communications in Computer and Information Science; Vol. 463).

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

TY - CHAP

T1 - Temperature characteristics research on LiFePO4 cells series battery pack in electric vehicles

AU - Feng, Fei

AU - Lu, Rengui

AU - Zhang, Shaojie

AU - Zhu, Chunbo

AU - Wei, Guo

N1 - Publisher Copyright: © Springer-Verlag Berlin Heidelberg 2014.

PY - 2014

Y1 - 2014

N2 - Due to cell-to-cell variations in battery pack, it is hard to manage cells of the battery pack safely and effectively. As a result, the battery pack performance is rapidly degraded, which in turn spread the differences in individual cells. Ambient temperature is a significant factor that influences characteristics of lithium-ion battery and cells variations in the pack. This paper tries to put effort on researching the temperature characteristics of cells series battery pack. The battery model parameters identification tests are designed to analyze the inconsistency characteristics of cells (such as open circuit voltage (OCV), ohmic and polarization resistances, and polarization capacitance) under various ambient temperatures. The results indicate that ohmic and polarization resistances are most significantly increased as the temperature decreases, while the opposite is true for OCV. The variation of cells inconsistency characteristics is obvious along with the temperature change.

AB - Due to cell-to-cell variations in battery pack, it is hard to manage cells of the battery pack safely and effectively. As a result, the battery pack performance is rapidly degraded, which in turn spread the differences in individual cells. Ambient temperature is a significant factor that influences characteristics of lithium-ion battery and cells variations in the pack. This paper tries to put effort on researching the temperature characteristics of cells series battery pack. The battery model parameters identification tests are designed to analyze the inconsistency characteristics of cells (such as open circuit voltage (OCV), ohmic and polarization resistances, and polarization capacitance) under various ambient temperatures. The results indicate that ohmic and polarization resistances are most significantly increased as the temperature decreases, while the opposite is true for OCV. The variation of cells inconsistency characteristics is obvious along with the temperature change.

KW - Ambient temperature

KW - Battery pack

KW - Capacity

KW - LiFePO

KW - Open circuit voltage (OCV)

KW - Resistance

UR - https://www.scopus.com/pages/publications/84908544663

U2 - 10.1007/978-3-662-45286-8_48

DO - 10.1007/978-3-662-45286-8_48

M3 - 章节

AN - SCOPUS:84908544663

T3 - Communications in Computer and Information Science

SP - 460

EP - 468

BT - Intelligent Computing in Smart Grid and Electrical Vehicles - International Conference on Life System Modeling and Simulation, LSMS 2014 and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2014, Proceedings

A2 - Li, Kang

A2 - Xue, Yusheng

A2 - Cui, Shumei

A2 - Niu, Qun

PB - Springer Verlag

ER -

Feng F, Lu R, Zhang S, Zhu C , Wei G. Temperature characteristics research on LiFePO₄ cells series battery pack in electric vehicles. In Li K, Xue Y, Cui S, Niu Q, editors, Intelligent Computing in Smart Grid and Electrical Vehicles - International Conference on Life System Modeling and Simulation, LSMS 2014 and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2014, Proceedings. Springer Verlag. 2014. p. 460-468. (Communications in Computer and Information Science). doi: 10.1007/978-3-662-45286-8_48