State of charge estimation considering OCV hysteresis in lithium iron phosphate battery for UPS applications

Rudy Tjandra; King Jet Tseng; Suguna Thanagasundram; Andreas Jossen

doi:10.1109/INTLEC.2015.7572446

State of charge estimation considering OCV hysteresis in lithium iron phosphate battery for UPS applications

Rudy Tjandra
, King Jet Tseng
, Suguna Thanagasundram
, Andreas Jossen

Chair of Electrical Energy Storage Technology

Nanyang Technological University
Temasek Polytechnic

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

1 Scopus citations

Abstract

In recent years, there is growing interest in improving lithium-ion battery state monitoring. This is due to growing concern over ensuring reliable and safe operation of lithium-ion based energy storage system especially in automotive and stationary e.g. UPS in data center applications. In this paper, battery state of charge estimation based on Extended Kalman Filter (EKF) and improved battery model considering hysteresis is presented. Hysteresis in battery is complex phenomenon and normally not considered in SOC estimation. However, the consideration is crucial especially in lithium iron phosphate (LFP) battery. Simplification of hysteresis in open circuit voltage (OCV) in the battery leads to higher percentage error in SOC estimation. To consider and model hysteresis in OCV, discrete Preisach model (DPM) is utilized to provide satisfactory improvement in SOC estimation.

Original language	English
Title of host publication	2015 IEEE International Telecommunications Energy Conference, INTELEC 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781479965823
DOIs	https://doi.org/10.1109/INTLEC.2015.7572446
State	Published - 20 Sep 2016
Event	2015 IEEE International Telecommunications Energy Conference, INTELEC 2015 - Osaka, Japan Duration: 18 Oct 2015 → 22 Oct 2015

Publication series

Name	INTELEC, International Telecommunications Energy Conference (Proceedings)
Volume	2016-September
ISSN (Print)	0275-0473

Conference

Conference	2015 IEEE International Telecommunications Energy Conference, INTELEC 2015
Country/Territory	Japan
City	Osaka
Period	18/10/15 → 22/10/15

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Discrete Preisach Model
Lithium Iron Phosphate
OCV hysteresis
SOC estimation

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10.1109/INTLEC.2015.7572446

Cite this

Tjandra, R., Tseng, K. J., Thanagasundram, S., & Jossen, A. (2016). State of charge estimation considering OCV hysteresis in lithium iron phosphate battery for UPS applications. In 2015 IEEE International Telecommunications Energy Conference, INTELEC 2015 Article 7572446 (INTELEC, International Telecommunications Energy Conference (Proceedings); Vol. 2016-September). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/INTLEC.2015.7572446

Tjandra, Rudy ; Tseng, King Jet ; Thanagasundram, Suguna et al. / State of charge estimation considering OCV hysteresis in lithium iron phosphate battery for UPS applications. 2015 IEEE International Telecommunications Energy Conference, INTELEC 2015. Institute of Electrical and Electronics Engineers Inc., 2016. (INTELEC, International Telecommunications Energy Conference (Proceedings)).

@inproceedings{2d89e02020ca4f8ab0866c10f0410e50,

title = "State of charge estimation considering OCV hysteresis in lithium iron phosphate battery for UPS applications",

abstract = "In recent years, there is growing interest in improving lithium-ion battery state monitoring. This is due to growing concern over ensuring reliable and safe operation of lithium-ion based energy storage system especially in automotive and stationary e.g. UPS in data center applications. In this paper, battery state of charge estimation based on Extended Kalman Filter (EKF) and improved battery model considering hysteresis is presented. Hysteresis in battery is complex phenomenon and normally not considered in SOC estimation. However, the consideration is crucial especially in lithium iron phosphate (LFP) battery. Simplification of hysteresis in open circuit voltage (OCV) in the battery leads to higher percentage error in SOC estimation. To consider and model hysteresis in OCV, discrete Preisach model (DPM) is utilized to provide satisfactory improvement in SOC estimation.",

keywords = "Discrete Preisach Model, Lithium Iron Phosphate, OCV hysteresis, SOC estimation",

author = "Rudy Tjandra and Tseng, \{King Jet\} and Suguna Thanagasundram and Andreas Jossen",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 2015 IEEE International Telecommunications Energy Conference, INTELEC 2015 ; Conference date: 18-10-2015 Through 22-10-2015",

year = "2016",

month = sep,

day = "20",

doi = "10.1109/INTLEC.2015.7572446",

language = "English",

series = "INTELEC, International Telecommunications Energy Conference (Proceedings)",

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

booktitle = "2015 IEEE International Telecommunications Energy Conference, INTELEC 2015",

}

Tjandra, R, Tseng, KJ, Thanagasundram, S & Jossen, A 2016, State of charge estimation considering OCV hysteresis in lithium iron phosphate battery for UPS applications. in 2015 IEEE International Telecommunications Energy Conference, INTELEC 2015., 7572446, INTELEC, International Telecommunications Energy Conference (Proceedings), vol. 2016-September, Institute of Electrical and Electronics Engineers Inc., 2015 IEEE International Telecommunications Energy Conference, INTELEC 2015, Osaka, Japan, 18/10/15. https://doi.org/10.1109/INTLEC.2015.7572446

State of charge estimation considering OCV hysteresis in lithium iron phosphate battery for UPS applications. / Tjandra, Rudy; Tseng, King Jet; Thanagasundram, Suguna et al.
2015 IEEE International Telecommunications Energy Conference, INTELEC 2015. Institute of Electrical and Electronics Engineers Inc., 2016. 7572446 (INTELEC, International Telecommunications Energy Conference (Proceedings); Vol. 2016-September).

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

TY - GEN

T1 - State of charge estimation considering OCV hysteresis in lithium iron phosphate battery for UPS applications

AU - Tjandra, Rudy

AU - Tseng, King Jet

AU - Thanagasundram, Suguna

AU - Jossen, Andreas

PY - 2016/9/20

Y1 - 2016/9/20

N2 - In recent years, there is growing interest in improving lithium-ion battery state monitoring. This is due to growing concern over ensuring reliable and safe operation of lithium-ion based energy storage system especially in automotive and stationary e.g. UPS in data center applications. In this paper, battery state of charge estimation based on Extended Kalman Filter (EKF) and improved battery model considering hysteresis is presented. Hysteresis in battery is complex phenomenon and normally not considered in SOC estimation. However, the consideration is crucial especially in lithium iron phosphate (LFP) battery. Simplification of hysteresis in open circuit voltage (OCV) in the battery leads to higher percentage error in SOC estimation. To consider and model hysteresis in OCV, discrete Preisach model (DPM) is utilized to provide satisfactory improvement in SOC estimation.

AB - In recent years, there is growing interest in improving lithium-ion battery state monitoring. This is due to growing concern over ensuring reliable and safe operation of lithium-ion based energy storage system especially in automotive and stationary e.g. UPS in data center applications. In this paper, battery state of charge estimation based on Extended Kalman Filter (EKF) and improved battery model considering hysteresis is presented. Hysteresis in battery is complex phenomenon and normally not considered in SOC estimation. However, the consideration is crucial especially in lithium iron phosphate (LFP) battery. Simplification of hysteresis in open circuit voltage (OCV) in the battery leads to higher percentage error in SOC estimation. To consider and model hysteresis in OCV, discrete Preisach model (DPM) is utilized to provide satisfactory improvement in SOC estimation.

KW - Discrete Preisach Model

KW - Lithium Iron Phosphate

KW - OCV hysteresis

KW - SOC estimation

UR - https://www.scopus.com/pages/publications/84990873251

U2 - 10.1109/INTLEC.2015.7572446

DO - 10.1109/INTLEC.2015.7572446

M3 - Conference contribution

AN - SCOPUS:84990873251

T3 - INTELEC, International Telecommunications Energy Conference (Proceedings)

BT - 2015 IEEE International Telecommunications Energy Conference, INTELEC 2015

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2015 IEEE International Telecommunications Energy Conference, INTELEC 2015

Y2 - 18 October 2015 through 22 October 2015

ER -

Tjandra R, Tseng KJ, Thanagasundram S, Jossen A. State of charge estimation considering OCV hysteresis in lithium iron phosphate battery for UPS applications. In 2015 IEEE International Telecommunications Energy Conference, INTELEC 2015. Institute of Electrical and Electronics Engineers Inc. 2016. 7572446. (INTELEC, International Telecommunications Energy Conference (Proceedings)). doi: 10.1109/INTLEC.2015.7572446

State of charge estimation considering OCV hysteresis in lithium iron phosphate battery for UPS applications

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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