A novel Li-ion battery pack modeling considerging single cell information and capacity variation

Jaehyung Lee; Jung Hoon Ahn; Byoung Kuk Lee

doi:10.1109/ECCE.2017.8096880

A novel Li-ion battery pack modeling considerging single cell information and capacity variation

Jaehyung Lee
, Jung Hoon Ahn
, Byoung Kuk Lee

Sungkyunkwan University

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

21 Scopus citations

Abstract

In this paper, a novel modeling method of battery pack for an optimal design and effective managements of battery is suggested. The proposed modeling method using single cell information makes an optimal design of battery pack possible by expecting the characteristics of the battery pack before the battery pack is manufactured. Also, the proposed battery pack model can be highly utilized in the battery management system because the proposed model is appropriate for the system model of existing state estimation algorithms for batteries by the benefit of its simple model structure. Furthermore, cell-to-cell variation and packaging elements are taken into consideration in the process of battery pack modeling for the model accuracy. The proposed modeling method of battery pack is verified with the help of simulation and experimental results based on Li-ion battery along with battery charger and discharger. The mean absolute percentage error and root mean square error of the proposed battery pack model in dynamic test are 0.407% and 0.065, respectively.

Original language	English
Title of host publication	2017 IEEE Energy Conversion Congress and Exposition, ECCE 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	5242-5247
Number of pages	6
ISBN (Electronic)	9781509029983
DOIs	https://doi.org/10.1109/ECCE.2017.8096880
State	Published - 3 Nov 2017
Externally published	Yes
Event	9th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2017 - Cincinnati, United States Duration: 1 Oct 2017 → 5 Oct 2017

Publication series

Name	2017 IEEE Energy Conversion Congress and Exposition, ECCE 2017
Volume	2017-January

Conference

Conference	9th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2017
Country/Territory	United States
City	Cincinnati
Period	1/10/17 → 5/10/17

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Battery modeling
Cell-to-cell variation
Li-ion battery
Packaging components

Access to Document

10.1109/ECCE.2017.8096880

Cite this

Lee, J., Ahn, J. H., & Lee, B. K. (2017). A novel Li-ion battery pack modeling considerging single cell information and capacity variation. In 2017 IEEE Energy Conversion Congress and Exposition, ECCE 2017 (pp. 5242-5247). Article 8096880 (2017 IEEE Energy Conversion Congress and Exposition, ECCE 2017; Vol. 2017-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ECCE.2017.8096880

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title = "A novel Li-ion battery pack modeling considerging single cell information and capacity variation",

abstract = "In this paper, a novel modeling method of battery pack for an optimal design and effective managements of battery is suggested. The proposed modeling method using single cell information makes an optimal design of battery pack possible by expecting the characteristics of the battery pack before the battery pack is manufactured. Also, the proposed battery pack model can be highly utilized in the battery management system because the proposed model is appropriate for the system model of existing state estimation algorithms for batteries by the benefit of its simple model structure. Furthermore, cell-to-cell variation and packaging elements are taken into consideration in the process of battery pack modeling for the model accuracy. The proposed modeling method of battery pack is verified with the help of simulation and experimental results based on Li-ion battery along with battery charger and discharger. The mean absolute percentage error and root mean square error of the proposed battery pack model in dynamic test are 0.407\% and 0.065, respectively.",

keywords = "Battery modeling, Cell-to-cell variation, Li-ion battery, Packaging components",

author = "Jaehyung Lee and Ahn, \{Jung Hoon\} and Lee, \{Byoung Kuk\}",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 9th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2017 ; Conference date: 01-10-2017 Through 05-10-2017",

year = "2017",

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doi = "10.1109/ECCE.2017.8096880",

language = "English",

series = "2017 IEEE Energy Conversion Congress and Exposition, ECCE 2017",

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}

Lee, J, Ahn, JH & Lee, BK 2017, A novel Li-ion battery pack modeling considerging single cell information and capacity variation. in 2017 IEEE Energy Conversion Congress and Exposition, ECCE 2017., 8096880, 2017 IEEE Energy Conversion Congress and Exposition, ECCE 2017, vol. 2017-January, Institute of Electrical and Electronics Engineers Inc., pp. 5242-5247, 9th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2017, Cincinnati, United States, 1/10/17. https://doi.org/10.1109/ECCE.2017.8096880

A novel Li-ion battery pack modeling considerging single cell information and capacity variation. / Lee, Jaehyung; Ahn, Jung Hoon; Lee, Byoung Kuk.
2017 IEEE Energy Conversion Congress and Exposition, ECCE 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 5242-5247 8096880 (2017 IEEE Energy Conversion Congress and Exposition, ECCE 2017; Vol. 2017-January).

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

TY - GEN

T1 - A novel Li-ion battery pack modeling considerging single cell information and capacity variation

AU - Lee, Jaehyung

AU - Ahn, Jung Hoon

AU - Lee, Byoung Kuk

PY - 2017/11/3

Y1 - 2017/11/3

N2 - In this paper, a novel modeling method of battery pack for an optimal design and effective managements of battery is suggested. The proposed modeling method using single cell information makes an optimal design of battery pack possible by expecting the characteristics of the battery pack before the battery pack is manufactured. Also, the proposed battery pack model can be highly utilized in the battery management system because the proposed model is appropriate for the system model of existing state estimation algorithms for batteries by the benefit of its simple model structure. Furthermore, cell-to-cell variation and packaging elements are taken into consideration in the process of battery pack modeling for the model accuracy. The proposed modeling method of battery pack is verified with the help of simulation and experimental results based on Li-ion battery along with battery charger and discharger. The mean absolute percentage error and root mean square error of the proposed battery pack model in dynamic test are 0.407% and 0.065, respectively.

AB - In this paper, a novel modeling method of battery pack for an optimal design and effective managements of battery is suggested. The proposed modeling method using single cell information makes an optimal design of battery pack possible by expecting the characteristics of the battery pack before the battery pack is manufactured. Also, the proposed battery pack model can be highly utilized in the battery management system because the proposed model is appropriate for the system model of existing state estimation algorithms for batteries by the benefit of its simple model structure. Furthermore, cell-to-cell variation and packaging elements are taken into consideration in the process of battery pack modeling for the model accuracy. The proposed modeling method of battery pack is verified with the help of simulation and experimental results based on Li-ion battery along with battery charger and discharger. The mean absolute percentage error and root mean square error of the proposed battery pack model in dynamic test are 0.407% and 0.065, respectively.

KW - Battery modeling

KW - Cell-to-cell variation

KW - Li-ion battery

KW - Packaging components

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M3 - Conference contribution

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SP - 5242

EP - 5247

BT - 2017 IEEE Energy Conversion Congress and Exposition, ECCE 2017

PB - Institute of Electrical and Electronics Engineers Inc.

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Y2 - 1 October 2017 through 5 October 2017

ER -

A novel Li-ion battery pack modeling considerging single cell information and capacity variation

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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