SoC Estimation Lithium Polymer Battery Based on Equivalent Circuit Model and Extended Kalman Filter

Dewi Anggraeni; Budi Sudiarto; Achmad Subhan; Nurul Chasanah; Cahya Edi Santosa; Desti Ika Suryanti; Gunawan Setyo Prabowo; Purnomo Sidi Priambodo

doi:10.1109/ACEEE56193.2022.9851867

SoC Estimation Lithium Polymer Battery Based on Equivalent Circuit Model and Extended Kalman Filter

Dewi Anggraeni, Budi Sudiarto, Achmad Subhan, Nurul Chasanah, Cahya Edi Santosa, Desti Ika Suryanti, Gunawan Setyo Prabowo, Purnomo Sidi Priambodo

Department of Electrical Engineering

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

5 Citations (Scopus)

Abstract

The advancement of a battery management system is notably decisive in small unmanned aircraft. One of its roles is estimating the State of Charge. Where the State of Charge is used to determine the battery capacity to preventing over-discharging and under-discharging processes. Moreover, this is very important in maintaining the security of the electrical energy distribution process to the onboard electrical system on small-scale unmanned aircraft. In this study, the 5000 mAh Lithium Polymer battery modelling based on the Electrical Equivalent Circuit methods and the EKF algorithm was used to estimate the SoC, because this method provides low complexity and low computational requirements. The estimation results show that the MAE and RSME with this method showed less than 1%. Moreover, determination of noise is added to implemented in real conditions, where the results show that the SoC estimation is adaptive to a given disturbance.

Original language	English
Title of host publication	2022 5th Asia Conference on Energy and Electrical Engineering, ACEEE 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	118-122
Number of pages	5
ISBN (Electronic)	9781665499330
DOIs	https://doi.org/10.1109/ACEEE56193.2022.9851867
Publication status	Published - 2022
Event	5th Asia Conference on Energy and Electrical Engineering, ACEEE 2022 - Virtual, Online, Malaysia Duration: 8 Jul 2022 → 10 Jul 2022

Publication series

Name	2022 5th Asia Conference on Energy and Electrical Engineering, ACEEE 2022

Conference

Conference	5th Asia Conference on Energy and Electrical Engineering, ACEEE 2022
Country/Territory	Malaysia
City	Virtual, Online
Period	8/07/22 → 10/07/22

Keywords

EECM
EKF
Lithium polymer
SoC
UAV

Access to Document

10.1109/ACEEE56193.2022.9851867

Cite this

Anggraeni, D., Sudiarto, B., Subhan, A., Chasanah, N., Santosa, C. E., Suryanti, D. I., Prabowo, G. S., & Priambodo, P. S. (2022). SoC Estimation Lithium Polymer Battery Based on Equivalent Circuit Model and Extended Kalman Filter. In 2022 5th Asia Conference on Energy and Electrical Engineering, ACEEE 2022 (pp. 118-122). (2022 5th Asia Conference on Energy and Electrical Engineering, ACEEE 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ACEEE56193.2022.9851867

Anggraeni, Dewi ; Sudiarto, Budi ; Subhan, Achmad et al. / SoC Estimation Lithium Polymer Battery Based on Equivalent Circuit Model and Extended Kalman Filter. 2022 5th Asia Conference on Energy and Electrical Engineering, ACEEE 2022. Institute of Electrical and Electronics Engineers Inc., 2022. pp. 118-122 (2022 5th Asia Conference on Energy and Electrical Engineering, ACEEE 2022).

@inproceedings{0caaa18af3e74133ba3214c5cf376b58,

title = "SoC Estimation Lithium Polymer Battery Based on Equivalent Circuit Model and Extended Kalman Filter",

abstract = "The advancement of a battery management system is notably decisive in small unmanned aircraft. One of its roles is estimating the State of Charge. Where the State of Charge is used to determine the battery capacity to preventing over-discharging and under-discharging processes. Moreover, this is very important in maintaining the security of the electrical energy distribution process to the onboard electrical system on small-scale unmanned aircraft. In this study, the 5000 mAh Lithium Polymer battery modelling based on the Electrical Equivalent Circuit methods and the EKF algorithm was used to estimate the SoC, because this method provides low complexity and low computational requirements. The estimation results show that the MAE and RSME with this method showed less than 1%. Moreover, determination of noise is added to implemented in real conditions, where the results show that the SoC estimation is adaptive to a given disturbance.",

keywords = "EECM, EKF, Lithium polymer, SoC, UAV",

author = "Dewi Anggraeni and Budi Sudiarto and Achmad Subhan and Nurul Chasanah and Santosa, {Cahya Edi} and Suryanti, {Desti Ika} and Prabowo, {Gunawan Setyo} and Priambodo, {Purnomo Sidi}",

note = "Funding Information: This work was supported by Research Organization for Aeronautics and Space, National Research and Innovation Agency (NOMOR B-4/III/PN/1/2022). Funding Information: This work was supported by Research Organiz Space, National Research and Innovation Agency (NOMOR B 4/III/PN/1/2022) . Publisher Copyright: {\textcopyright} 2022 IEEE.; 5th Asia Conference on Energy and Electrical Engineering, ACEEE 2022 ; Conference date: 08-07-2022 Through 10-07-2022",

year = "2022",

doi = "10.1109/ACEEE56193.2022.9851867",

language = "English",

series = "2022 5th Asia Conference on Energy and Electrical Engineering, ACEEE 2022",

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

pages = "118--122",

booktitle = "2022 5th Asia Conference on Energy and Electrical Engineering, ACEEE 2022",

address = "United States",

}

Anggraeni, D, Sudiarto, B, Subhan, A, Chasanah, N, Santosa, CE, Suryanti, DI, Prabowo, GS & Priambodo, PS 2022, SoC Estimation Lithium Polymer Battery Based on Equivalent Circuit Model and Extended Kalman Filter. in 2022 5th Asia Conference on Energy and Electrical Engineering, ACEEE 2022. 2022 5th Asia Conference on Energy and Electrical Engineering, ACEEE 2022, Institute of Electrical and Electronics Engineers Inc., pp. 118-122, 5th Asia Conference on Energy and Electrical Engineering, ACEEE 2022, Virtual, Online, Malaysia, 8/07/22. https://doi.org/10.1109/ACEEE56193.2022.9851867

SoC Estimation Lithium Polymer Battery Based on Equivalent Circuit Model and Extended Kalman Filter. / Anggraeni, Dewi; Sudiarto, Budi; Subhan, Achmad et al.
2022 5th Asia Conference on Energy and Electrical Engineering, ACEEE 2022. Institute of Electrical and Electronics Engineers Inc., 2022. p. 118-122 (2022 5th Asia Conference on Energy and Electrical Engineering, ACEEE 2022).

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

TY - GEN

T1 - SoC Estimation Lithium Polymer Battery Based on Equivalent Circuit Model and Extended Kalman Filter

AU - Anggraeni, Dewi

AU - Sudiarto, Budi

AU - Subhan, Achmad

AU - Chasanah, Nurul

AU - Santosa, Cahya Edi

AU - Suryanti, Desti Ika

AU - Prabowo, Gunawan Setyo

AU - Priambodo, Purnomo Sidi

N1 - Funding Information: This work was supported by Research Organization for Aeronautics and Space, National Research and Innovation Agency (NOMOR B-4/III/PN/1/2022). Funding Information: This work was supported by Research Organiz Space, National Research and Innovation Agency (NOMOR B 4/III/PN/1/2022) . Publisher Copyright: © 2022 IEEE.

PY - 2022

Y1 - 2022

N2 - The advancement of a battery management system is notably decisive in small unmanned aircraft. One of its roles is estimating the State of Charge. Where the State of Charge is used to determine the battery capacity to preventing over-discharging and under-discharging processes. Moreover, this is very important in maintaining the security of the electrical energy distribution process to the onboard electrical system on small-scale unmanned aircraft. In this study, the 5000 mAh Lithium Polymer battery modelling based on the Electrical Equivalent Circuit methods and the EKF algorithm was used to estimate the SoC, because this method provides low complexity and low computational requirements. The estimation results show that the MAE and RSME with this method showed less than 1%. Moreover, determination of noise is added to implemented in real conditions, where the results show that the SoC estimation is adaptive to a given disturbance.

AB - The advancement of a battery management system is notably decisive in small unmanned aircraft. One of its roles is estimating the State of Charge. Where the State of Charge is used to determine the battery capacity to preventing over-discharging and under-discharging processes. Moreover, this is very important in maintaining the security of the electrical energy distribution process to the onboard electrical system on small-scale unmanned aircraft. In this study, the 5000 mAh Lithium Polymer battery modelling based on the Electrical Equivalent Circuit methods and the EKF algorithm was used to estimate the SoC, because this method provides low complexity and low computational requirements. The estimation results show that the MAE and RSME with this method showed less than 1%. Moreover, determination of noise is added to implemented in real conditions, where the results show that the SoC estimation is adaptive to a given disturbance.

KW - EECM

KW - EKF

KW - Lithium polymer

KW - SoC

KW - UAV

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U2 - 10.1109/ACEEE56193.2022.9851867

DO - 10.1109/ACEEE56193.2022.9851867

M3 - Conference contribution

AN - SCOPUS:85137458345

T3 - 2022 5th Asia Conference on Energy and Electrical Engineering, ACEEE 2022

SP - 118

EP - 122

BT - 2022 5th Asia Conference on Energy and Electrical Engineering, ACEEE 2022

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 5th Asia Conference on Energy and Electrical Engineering, ACEEE 2022

Y2 - 8 July 2022 through 10 July 2022

ER -

Anggraeni D, Sudiarto B, Subhan A, Chasanah N, Santosa CE, Suryanti DI et al. SoC Estimation Lithium Polymer Battery Based on Equivalent Circuit Model and Extended Kalman Filter. In 2022 5th Asia Conference on Energy and Electrical Engineering, ACEEE 2022. Institute of Electrical and Electronics Engineers Inc. 2022. p. 118-122. (2022 5th Asia Conference on Energy and Electrical Engineering, ACEEE 2022). doi: 10.1109/ACEEE56193.2022.9851867

SoC Estimation Lithium Polymer Battery Based on Equivalent Circuit Model and Extended Kalman Filter

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Keywords

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