Batarya Elektriksel Eşdeǧer Devre Modeli Parametrelerinin Elde Edilmesinde Kullanilan Eǧri Uydurma Yöntemlerinin Karşilaştirilmasi

Ege Uzun; Mithat Can Camur; Bati Eren Ergun; Arda Akyildiz; Alparslan Zehir; Cavit Fatih Kucuktezcan; Ilhan Kocaarslan; Mehmet Onur Gulbahce

doi:10.1109/ELECO64362.2024.10847219

Batarya Elektriksel Eşdeǧer Devre Modeli Parametrelerinin Elde Edilmesinde Kullanilan Eǧri Uydurma Yöntemlerinin Karşilaştirilmasi

Translated title of the contribution: Comparison of Parameter Estimation Methods for Determining the Parametersof the Battery Electrical Equivalent Circuit Model

Ege Uzun, Mithat Can Camur, Bati Eren Ergun, Arda Akyildiz, Alparslan Zehir, Cavit Fatih Kucuktezcan, Ilhan Kocaarslan, Mehmet Onur Gulbahce

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

Abstract

Lithium-ion battery chemistry has become the preferred choice in modern electrical energy storage systems. While it offers many advantages, its reactive nature can lead to hazardous situations. To prevent this, parameters such as voltage, current, temperature, and state of charge (SOC) must be monitored. In order to carry out this monitoring process, the battery's behavior needs to be mathematically modeled. For this purpose, parameters were determined for equivalent circuit models of varying degrees using different curve-fitting methods. These parameters were derived from test data of A123 Systems' ANR26650M1-B and Samsung's INR 18650 20R battery types. Models created through different curve-fitting methods were then compared with the test data. As a result of this study, a curvefitting method was identified that provides a fast, easy, and highly consistent equivalent circuit model.

Translated title of the contribution	Comparison of Parameter Estimation Methods for Determining the Parametersof the Battery Electrical Equivalent Circuit Model
Original language	Turkish
Title of host publication	Electrical-Electronics and Biomedical Engineering Conference, ELECO 2024 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798331518035
DOIs	https://doi.org/10.1109/ELECO64362.2024.10847219
Publication status	Published - 2024
Event	2024 Electrical, Electronics and Biomedical Engineering Conference at 15th National Conference on Electrical and Electronics Engineering, ELECO 2024 - Bursa, Turkey Duration: 28 Nov 2024 → 30 Nov 2024

Publication series

Name	Electrical-Electronics and Biomedical Engineering Conference, ELECO 2024 - Proceedings

Conference

Conference	2024 Electrical, Electronics and Biomedical Engineering Conference at 15th National Conference on Electrical and Electronics Engineering, ELECO 2024
Country/Territory	Turkey
City	Bursa
Period	28/11/24 → 30/11/24

Bibliographical note

Publisher Copyright:
© 2024 IEEE.

UN SDGs

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

Access to Document

10.1109/ELECO64362.2024.10847219

Cite this

Uzun, E., Camur, M. C., Ergun, B. E., Akyildiz, A., Zehir, A., Kucuktezcan, C. F., Kocaarslan, I., & Gulbahce, M. O. (2024). Batarya Elektriksel Eşdeǧer Devre Modeli Parametrelerinin Elde Edilmesinde Kullanilan Eǧri Uydurma Yöntemlerinin Karşilaştirilmasi. In Electrical-Electronics and Biomedical Engineering Conference, ELECO 2024 - Proceedings (Electrical-Electronics and Biomedical Engineering Conference, ELECO 2024 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ELECO64362.2024.10847219

Uzun, Ege ; Camur, Mithat Can ; Ergun, Bati Eren et al. / Batarya Elektriksel Eşdeǧer Devre Modeli Parametrelerinin Elde Edilmesinde Kullanilan Eǧri Uydurma Yöntemlerinin Karşilaştirilmasi. Electrical-Electronics and Biomedical Engineering Conference, ELECO 2024 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2024. (Electrical-Electronics and Biomedical Engineering Conference, ELECO 2024 - Proceedings).

@inproceedings{09d7084e6e6e4ee6a30adcfed13ccf9d,

title = "Batarya Elektriksel E{\c s}deǧer Devre Modeli Parametrelerinin Elde Edilmesinde Kullanilan Eǧri Uydurma Y{\"o}ntemlerinin Kar{\c s}ila{\c s}tirilmasi",

abstract = "Lithium-ion battery chemistry has become the preferred choice in modern electrical energy storage systems. While it offers many advantages, its reactive nature can lead to hazardous situations. To prevent this, parameters such as voltage, current, temperature, and state of charge (SOC) must be monitored. In order to carry out this monitoring process, the battery's behavior needs to be mathematically modeled. For this purpose, parameters were determined for equivalent circuit models of varying degrees using different curve-fitting methods. These parameters were derived from test data of A123 Systems' ANR26650M1-B and Samsung's INR 18650 20R battery types. Models created through different curve-fitting methods were then compared with the test data. As a result of this study, a curvefitting method was identified that provides a fast, easy, and highly consistent equivalent circuit model.",

author = "Ege Uzun and Camur, {Mithat Can} and Ergun, {Bati Eren} and Arda Akyildiz and Alparslan Zehir and Kucuktezcan, {Cavit Fatih} and Ilhan Kocaarslan and Gulbahce, {Mehmet Onur}",

note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 2024 Electrical, Electronics and Biomedical Engineering Conference at 15th National Conference on Electrical and Electronics Engineering, ELECO 2024 ; Conference date: 28-11-2024 Through 30-11-2024",

year = "2024",

doi = "10.1109/ELECO64362.2024.10847219",

language = "T{\"u}rk{\c c}e",

series = "Electrical-Electronics and Biomedical Engineering Conference, ELECO 2024 - Proceedings",

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

booktitle = "Electrical-Electronics and Biomedical Engineering Conference, ELECO 2024 - Proceedings",

address = "United States",

}

Uzun, E, Camur, MC, Ergun, BE, Akyildiz, A, Zehir, A, Kucuktezcan, CF , Kocaarslan, I & Gulbahce, MO 2024, Batarya Elektriksel Eşdeǧer Devre Modeli Parametrelerinin Elde Edilmesinde Kullanilan Eǧri Uydurma Yöntemlerinin Karşilaştirilmasi. in Electrical-Electronics and Biomedical Engineering Conference, ELECO 2024 - Proceedings. Electrical-Electronics and Biomedical Engineering Conference, ELECO 2024 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 2024 Electrical, Electronics and Biomedical Engineering Conference at 15th National Conference on Electrical and Electronics Engineering, ELECO 2024, Bursa, Turkey, 28/11/24. https://doi.org/10.1109/ELECO64362.2024.10847219

Batarya Elektriksel Eşdeǧer Devre Modeli Parametrelerinin Elde Edilmesinde Kullanilan Eǧri Uydurma Yöntemlerinin Karşilaştirilmasi. / Uzun, Ege; Camur, Mithat Can; Ergun, Bati Eren et al.
Electrical-Electronics and Biomedical Engineering Conference, ELECO 2024 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2024. (Electrical-Electronics and Biomedical Engineering Conference, ELECO 2024 - Proceedings).

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

TY - GEN

T1 - Batarya Elektriksel Eşdeǧer Devre Modeli Parametrelerinin Elde Edilmesinde Kullanilan Eǧri Uydurma Yöntemlerinin Karşilaştirilmasi

AU - Uzun, Ege

AU - Camur, Mithat Can

AU - Ergun, Bati Eren

AU - Akyildiz, Arda

AU - Zehir, Alparslan

AU - Kucuktezcan, Cavit Fatih

AU - Kocaarslan, Ilhan

AU - Gulbahce, Mehmet Onur

PY - 2024

Y1 - 2024

N2 - Lithium-ion battery chemistry has become the preferred choice in modern electrical energy storage systems. While it offers many advantages, its reactive nature can lead to hazardous situations. To prevent this, parameters such as voltage, current, temperature, and state of charge (SOC) must be monitored. In order to carry out this monitoring process, the battery's behavior needs to be mathematically modeled. For this purpose, parameters were determined for equivalent circuit models of varying degrees using different curve-fitting methods. These parameters were derived from test data of A123 Systems' ANR26650M1-B and Samsung's INR 18650 20R battery types. Models created through different curve-fitting methods were then compared with the test data. As a result of this study, a curvefitting method was identified that provides a fast, easy, and highly consistent equivalent circuit model.

AB - Lithium-ion battery chemistry has become the preferred choice in modern electrical energy storage systems. While it offers many advantages, its reactive nature can lead to hazardous situations. To prevent this, parameters such as voltage, current, temperature, and state of charge (SOC) must be monitored. In order to carry out this monitoring process, the battery's behavior needs to be mathematically modeled. For this purpose, parameters were determined for equivalent circuit models of varying degrees using different curve-fitting methods. These parameters were derived from test data of A123 Systems' ANR26650M1-B and Samsung's INR 18650 20R battery types. Models created through different curve-fitting methods were then compared with the test data. As a result of this study, a curvefitting method was identified that provides a fast, easy, and highly consistent equivalent circuit model.

UR - http://www.scopus.com/inward/record.url?scp=85217862589&partnerID=8YFLogxK

U2 - 10.1109/ELECO64362.2024.10847219

DO - 10.1109/ELECO64362.2024.10847219

M3 - Konferans katkısı

AN - SCOPUS:85217862589

T3 - Electrical-Electronics and Biomedical Engineering Conference, ELECO 2024 - Proceedings

BT - Electrical-Electronics and Biomedical Engineering Conference, ELECO 2024 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2024 Electrical, Electronics and Biomedical Engineering Conference at 15th National Conference on Electrical and Electronics Engineering, ELECO 2024

Y2 - 28 November 2024 through 30 November 2024

ER -

Uzun E, Camur MC, Ergun BE, Akyildiz A, Zehir A, Kucuktezcan CF et al. Batarya Elektriksel Eşdeǧer Devre Modeli Parametrelerinin Elde Edilmesinde Kullanilan Eǧri Uydurma Yöntemlerinin Karşilaştirilmasi. In Electrical-Electronics and Biomedical Engineering Conference, ELECO 2024 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2024. (Electrical-Electronics and Biomedical Engineering Conference, ELECO 2024 - Proceedings). doi: 10.1109/ELECO64362.2024.10847219

Batarya Elektriksel Eşdeǧer Devre Modeli Parametrelerinin Elde Edilmesinde Kullanilan Eǧri Uydurma Yöntemlerinin Karşilaştirilmasi

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this