Online thermal state estimation of high power lithium-ion battery

Hyunjae Kim; Sunuwe Kim; Taejin Kim; Chao Hu; Byeng D. Youn

doi:10.1109/ICPHM.2015.7245067

Online thermal state estimation of high power lithium-ion battery

Hyunjae Kim
, Sunuwe Kim
, Taejin Kim
, Chao Hu
, Byeng D. Youn^*

^*Corresponding author for this work

Department of Industrial and Information Systems Engineering

Seoul National University
University of Maryland, College Park

Research output: Contribution to conference › Conference paper › peer-review

7 Scopus citations

Abstract

This paper concerns about thermal management issues of Li-ion battery for optimal and safe operation of the battery. For the thermal management, it is important to estimate implicit thermal states such as internal temperature and heat generation rate of the battery. This research presents an online thermal state estimation technique for a pouch-type Li-ion polymer battery. The thermal states are represented by a state space model based on an equivalent circuit model. A computational thermal dynamic analysis for Li-ion battery is used for identifying the model parameters. A state estimation technique is developed based on a state observer and energy balance equation. This technique is validated with a constant and dynamic current discharge experiment on a 5Ah pouch type Li-ion battery.

Original language	English
Title of host publication	2015 IEEE Conference on Prognostics and Health Management
Subtitle of host publication	Enhancing Safety, Efficiency, Availability, and Effectiveness of Systems Through PHAf Technology and Application, PHM 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781479918935
DOIs	https://doi.org/10.1109/ICPHM.2015.7245067
State	Published - 2015.09.8
Event	IEEE Conference on Prognostics and Health Management, PHM 2015 - Austin, United States Duration: 2015.06.22 → 2015.06.25

Publication series

Name	2015 IEEE Conference on Prognostics and Health Management: Enhancing Safety, Efficiency, Availability, and Effectiveness of Systems Through PHAf Technology and Application, PHM 2015

Conference

Conference	IEEE Conference on Prognostics and Health Management, PHM 2015
Country/Territory	United States
City	Austin
Period	15.06.22 → 15.06.25

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Heat generation
Heat measurement
Lithium ion battery
State observation
Temperature estimation

Access to Document

10.1109/ICPHM.2015.7245067

Cite this

Kim, H., Kim, S., Kim, T., Hu, C., & Youn, B. D. (2015). Online thermal state estimation of high power lithium-ion battery. In 2015 IEEE Conference on Prognostics and Health Management: Enhancing Safety, Efficiency, Availability, and Effectiveness of Systems Through PHAf Technology and Application, PHM 2015 Article 7245067 (2015 IEEE Conference on Prognostics and Health Management: Enhancing Safety, Efficiency, Availability, and Effectiveness of Systems Through PHAf Technology and Application, PHM 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICPHM.2015.7245067

Kim, Hyunjae ; Kim, Sunuwe ; Kim, Taejin et al. / Online thermal state estimation of high power lithium-ion battery. 2015 IEEE Conference on Prognostics and Health Management: Enhancing Safety, Efficiency, Availability, and Effectiveness of Systems Through PHAf Technology and Application, PHM 2015. Institute of Electrical and Electronics Engineers Inc., 2015. (2015 IEEE Conference on Prognostics and Health Management: Enhancing Safety, Efficiency, Availability, and Effectiveness of Systems Through PHAf Technology and Application, PHM 2015).

@inproceedings{7d6f273189ec492eb2c3ffe61fc9fc14,

title = "Online thermal state estimation of high power lithium-ion battery",

abstract = "This paper concerns about thermal management issues of Li-ion battery for optimal and safe operation of the battery. For the thermal management, it is important to estimate implicit thermal states such as internal temperature and heat generation rate of the battery. This research presents an online thermal state estimation technique for a pouch-type Li-ion polymer battery. The thermal states are represented by a state space model based on an equivalent circuit model. A computational thermal dynamic analysis for Li-ion battery is used for identifying the model parameters. A state estimation technique is developed based on a state observer and energy balance equation. This technique is validated with a constant and dynamic current discharge experiment on a 5Ah pouch type Li-ion battery.",

keywords = "Heat generation, Heat measurement, Lithium ion battery, State observation, Temperature estimation",

author = "Hyunjae Kim and Sunuwe Kim and Taejin Kim and Chao Hu and Youn, \{Byeng D.\}",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; IEEE Conference on Prognostics and Health Management, PHM 2015 ; Conference date: 22-06-2015 Through 25-06-2015",

year = "2015",

month = sep,

day = "8",

doi = "10.1109/ICPHM.2015.7245067",

language = "English",

series = "2015 IEEE Conference on Prognostics and Health Management: Enhancing Safety, Efficiency, Availability, and Effectiveness of Systems Through PHAf Technology and Application, PHM 2015",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2015 IEEE Conference on Prognostics and Health Management",

}

Kim, H, Kim, S, Kim, T, Hu, C & Youn, BD 2015, Online thermal state estimation of high power lithium-ion battery. in 2015 IEEE Conference on Prognostics and Health Management: Enhancing Safety, Efficiency, Availability, and Effectiveness of Systems Through PHAf Technology and Application, PHM 2015., 7245067, 2015 IEEE Conference on Prognostics and Health Management: Enhancing Safety, Efficiency, Availability, and Effectiveness of Systems Through PHAf Technology and Application, PHM 2015, Institute of Electrical and Electronics Engineers Inc., IEEE Conference on Prognostics and Health Management, PHM 2015, Austin, United States, 15.06.22. https://doi.org/10.1109/ICPHM.2015.7245067

Online thermal state estimation of high power lithium-ion battery. / Kim, Hyunjae; Kim, Sunuwe; Kim, Taejin et al.
2015 IEEE Conference on Prognostics and Health Management: Enhancing Safety, Efficiency, Availability, and Effectiveness of Systems Through PHAf Technology and Application, PHM 2015. Institute of Electrical and Electronics Engineers Inc., 2015. 7245067 (2015 IEEE Conference on Prognostics and Health Management: Enhancing Safety, Efficiency, Availability, and Effectiveness of Systems Through PHAf Technology and Application, PHM 2015).

Research output: Contribution to conference › Conference paper › peer-review

TY - GEN

T1 - Online thermal state estimation of high power lithium-ion battery

AU - Kim, Hyunjae

AU - Kim, Sunuwe

AU - Kim, Taejin

AU - Hu, Chao

AU - Youn, Byeng D.

PY - 2015/9/8

Y1 - 2015/9/8

N2 - This paper concerns about thermal management issues of Li-ion battery for optimal and safe operation of the battery. For the thermal management, it is important to estimate implicit thermal states such as internal temperature and heat generation rate of the battery. This research presents an online thermal state estimation technique for a pouch-type Li-ion polymer battery. The thermal states are represented by a state space model based on an equivalent circuit model. A computational thermal dynamic analysis for Li-ion battery is used for identifying the model parameters. A state estimation technique is developed based on a state observer and energy balance equation. This technique is validated with a constant and dynamic current discharge experiment on a 5Ah pouch type Li-ion battery.

AB - This paper concerns about thermal management issues of Li-ion battery for optimal and safe operation of the battery. For the thermal management, it is important to estimate implicit thermal states such as internal temperature and heat generation rate of the battery. This research presents an online thermal state estimation technique for a pouch-type Li-ion polymer battery. The thermal states are represented by a state space model based on an equivalent circuit model. A computational thermal dynamic analysis for Li-ion battery is used for identifying the model parameters. A state estimation technique is developed based on a state observer and energy balance equation. This technique is validated with a constant and dynamic current discharge experiment on a 5Ah pouch type Li-ion battery.

KW - Heat generation

KW - Heat measurement

KW - Lithium ion battery

KW - State observation

KW - Temperature estimation

UR - https://www.scopus.com/pages/publications/84957894939

U2 - 10.1109/ICPHM.2015.7245067

DO - 10.1109/ICPHM.2015.7245067

M3 - Conference paper

AN - SCOPUS:84957894939

T3 - 2015 IEEE Conference on Prognostics and Health Management: Enhancing Safety, Efficiency, Availability, and Effectiveness of Systems Through PHAf Technology and Application, PHM 2015

BT - 2015 IEEE Conference on Prognostics and Health Management

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - IEEE Conference on Prognostics and Health Management, PHM 2015

Y2 - 22 June 2015 through 25 June 2015

ER -

Kim H, Kim S, Kim T, Hu C, Youn BD. Online thermal state estimation of high power lithium-ion battery. In 2015 IEEE Conference on Prognostics and Health Management: Enhancing Safety, Efficiency, Availability, and Effectiveness of Systems Through PHAf Technology and Application, PHM 2015. Institute of Electrical and Electronics Engineers Inc. 2015. 7245067. (2015 IEEE Conference on Prognostics and Health Management: Enhancing Safety, Efficiency, Availability, and Effectiveness of Systems Through PHAf Technology and Application, PHM 2015). doi: 10.1109/ICPHM.2015.7245067

Online thermal state estimation of high power lithium-ion battery

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

Cite this