Battery Degradation Platform and Model for Realistic Battery Use Cases

Daisuke Kodaira; Sekyung Han

doi:10.1109/ICSGSC50906.2020.9248541

Battery Degradation Platform and Model for Realistic Battery Use Cases

Daisuke Kodaira
, Sekyung Han

Department of Electrical Engineering

Tokyo University of Science

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

2 Scopus citations

Abstract

In this paper, the mathematical evaluation model, extended wear density function (WDF), that evaluates battery remaining life is proposed. Also, a data platform to be utilized for the extended WDF is proposed. The previous WDF doesn't consider three factors; operation temperature, current, and operating state-of-charge (SOC). To build more practical WDF, we proposed the extended WDF modeland data platform for the extended WDF. The measurement value of operation temperature, current, and operating SOC are transformed into coefficients for the extended WDF. The proposed data platform stores the measured data with the information of batteries specifications. The extended WDF model is trained by the gathered data so that it estimates battery degradation with the new experimental data which has the same attributes as the training data. In the simulation, the proposed extended WDF and data structure in the proposed platform is verified.

Original language	English
Title of host publication	4th International Conference on Smart Grid and Smart Cities, ICSGSC 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	14-17
Number of pages	4
ISBN (Electronic)	9781728194042
DOIs	https://doi.org/10.1109/ICSGSC50906.2020.9248541
State	Published - 18 Aug 2020
Event	4th International Conference on Smart Grid and Smart Cities, ICSGSC 2020 - Osaka, Japan Duration: 18 Aug 2020 → 21 Aug 2020

Publication series

Name	4th International Conference on Smart Grid and Smart Cities, ICSGSC 2020

Conference

Conference	4th International Conference on Smart Grid and Smart Cities, ICSGSC 2020
Country/Territory	Japan
City	Osaka
Period	18/08/20 → 21/08/20

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

battery degradation
big-data platform
wear density function

Access to Document

10.1109/ICSGSC50906.2020.9248541

Cite this

Kodaira, D., & Han, S. (2020). Battery Degradation Platform and Model for Realistic Battery Use Cases. In 4th International Conference on Smart Grid and Smart Cities, ICSGSC 2020 (pp. 14-17). Article 9248541 (4th International Conference on Smart Grid and Smart Cities, ICSGSC 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICSGSC50906.2020.9248541

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title = "Battery Degradation Platform and Model for Realistic Battery Use Cases",

abstract = "In this paper, the mathematical evaluation model, extended wear density function (WDF), that evaluates battery remaining life is proposed. Also, a data platform to be utilized for the extended WDF is proposed. The previous WDF doesn't consider three factors; operation temperature, current, and operating state-of-charge (SOC). To build more practical WDF, we proposed the extended WDF modeland data platform for the extended WDF. The measurement value of operation temperature, current, and operating SOC are transformed into coefficients for the extended WDF. The proposed data platform stores the measured data with the information of batteries specifications. The extended WDF model is trained by the gathered data so that it estimates battery degradation with the new experimental data which has the same attributes as the training data. In the simulation, the proposed extended WDF and data structure in the proposed platform is verified.",

keywords = "battery degradation, big-data platform, wear density function",

author = "Daisuke Kodaira and Sekyung Han",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 4th International Conference on Smart Grid and Smart Cities, ICSGSC 2020 ; Conference date: 18-08-2020 Through 21-08-2020",

year = "2020",

month = aug,

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doi = "10.1109/ICSGSC50906.2020.9248541",

language = "English",

series = "4th International Conference on Smart Grid and Smart Cities, ICSGSC 2020",

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

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booktitle = "4th International Conference on Smart Grid and Smart Cities, ICSGSC 2020",

address = "United States",

}

Kodaira, D & Han, S 2020, Battery Degradation Platform and Model for Realistic Battery Use Cases. in 4th International Conference on Smart Grid and Smart Cities, ICSGSC 2020., 9248541, 4th International Conference on Smart Grid and Smart Cities, ICSGSC 2020, Institute of Electrical and Electronics Engineers Inc., pp. 14-17, 4th International Conference on Smart Grid and Smart Cities, ICSGSC 2020, Osaka, Japan, 18/08/20. https://doi.org/10.1109/ICSGSC50906.2020.9248541

Battery Degradation Platform and Model for Realistic Battery Use Cases. / Kodaira, Daisuke; Han, Sekyung.
4th International Conference on Smart Grid and Smart Cities, ICSGSC 2020. Institute of Electrical and Electronics Engineers Inc., 2020. p. 14-17 9248541 (4th International Conference on Smart Grid and Smart Cities, ICSGSC 2020).

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

TY - GEN

T1 - Battery Degradation Platform and Model for Realistic Battery Use Cases

AU - Kodaira, Daisuke

AU - Han, Sekyung

PY - 2020/8/18

Y1 - 2020/8/18

N2 - In this paper, the mathematical evaluation model, extended wear density function (WDF), that evaluates battery remaining life is proposed. Also, a data platform to be utilized for the extended WDF is proposed. The previous WDF doesn't consider three factors; operation temperature, current, and operating state-of-charge (SOC). To build more practical WDF, we proposed the extended WDF modeland data platform for the extended WDF. The measurement value of operation temperature, current, and operating SOC are transformed into coefficients for the extended WDF. The proposed data platform stores the measured data with the information of batteries specifications. The extended WDF model is trained by the gathered data so that it estimates battery degradation with the new experimental data which has the same attributes as the training data. In the simulation, the proposed extended WDF and data structure in the proposed platform is verified.

AB - In this paper, the mathematical evaluation model, extended wear density function (WDF), that evaluates battery remaining life is proposed. Also, a data platform to be utilized for the extended WDF is proposed. The previous WDF doesn't consider three factors; operation temperature, current, and operating state-of-charge (SOC). To build more practical WDF, we proposed the extended WDF modeland data platform for the extended WDF. The measurement value of operation temperature, current, and operating SOC are transformed into coefficients for the extended WDF. The proposed data platform stores the measured data with the information of batteries specifications. The extended WDF model is trained by the gathered data so that it estimates battery degradation with the new experimental data which has the same attributes as the training data. In the simulation, the proposed extended WDF and data structure in the proposed platform is verified.

KW - battery degradation

KW - big-data platform

KW - wear density function

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DO - 10.1109/ICSGSC50906.2020.9248541

M3 - Conference contribution

AN - SCOPUS:85097599464

T3 - 4th International Conference on Smart Grid and Smart Cities, ICSGSC 2020

SP - 14

EP - 17

BT - 4th International Conference on Smart Grid and Smart Cities, ICSGSC 2020

PB - Institute of Electrical and Electronics Engineers Inc.

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Y2 - 18 August 2020 through 21 August 2020

ER -

Battery Degradation Platform and Model for Realistic Battery Use Cases

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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