Lithium-ion Battery SOH Estimation and Fault Diagnosis with Missing Data

Ang Yang; Yu Wang; Kowk Leung Tsui; Yanyang Zi

doi:10.1109/I2MTC.2019.8826888

Lithium-ion Battery SOH Estimation and Fault Diagnosis with Missing Data

Ang Yang, Yu Wang, Kowk Leung Tsui, Yanyang Zi

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

15 Citations (Scopus)

Abstract

State-of-health (SOH) is an important index indicating the batterys energy storage performance and health condition. However, the volume of SOH is highly dependent on the batterys initial capacity rather than the current capacity. Consequently, it is intractable to infer the SOH of batteries with missing data. In this paper, we propose a dynamic Peukerts law-based battery SOH estimation method. The dynamic Peukerts law correlates capacity loss with Peukerts coefficient, and eliminates the degradation inconsistency and is applicable for the same type of battery. Since the Peukerts coefficient can be calculated by multi-discharging test, the SOH is able to be estimated directly, and therefore, the limitation of data missing is overcome.

Original language	English
Title of host publication	2019 IEEE International Instrumentation and Measurement Technology Conference(I2MTC)
Volume	2019-May
ISBN (Electronic)	978-1-5386-3460-8
DOIs	https://doi.org/10.1109/I2MTC.2019.8826888
Publication status	Published - May 2019
Externally published	Yes
Event	2019 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2019 - Auckland, New Zealand Duration: 20 May 2019 → 23 May 2019 http://i2mtc2019.ieee-ims.org

Conference

Conference	2019 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2019
Place	New Zealand
City	Auckland
Period	20/05/19 → 23/05/19
Internet address	http://i2mtc2019.ieee-ims.org

Research Keywords

Degradation
Discharges (electric)
Estimation
Lithium-ion battery
Mathematical model
Mechanical engineering

UN SDGs

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

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10.1109/I2MTC.2019.8826888

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title = "Lithium-ion Battery SOH Estimation and Fault Diagnosis with Missing Data",

abstract = "State-of-health (SOH) is an important index indicating the batterys energy storage performance and health condition. However, the volume of SOH is highly dependent on the batterys initial capacity rather than the current capacity. Consequently, it is intractable to infer the SOH of batteries with missing data. In this paper, we propose a dynamic Peukerts law-based battery SOH estimation method. The dynamic Peukerts law correlates capacity loss with Peukerts coefficient, and eliminates the degradation inconsistency and is applicable for the same type of battery. Since the Peukerts coefficient can be calculated by multi-discharging test, the SOH is able to be estimated directly, and therefore, the limitation of data missing is overcome.",

keywords = "Degradation, Discharges (electric), Estimation, Lithium-ion battery, Mathematical model, Mechanical engineering",

author = "Ang Yang and Yu Wang and Tsui, {Kowk Leung} and Yanyang Zi",

year = "2019",

month = may,

doi = "10.1109/I2MTC.2019.8826888",

language = "English",

isbn = "978-1-5386-3461-5",

volume = "2019-May",

booktitle = "2019 IEEE International Instrumentation and Measurement Technology Conference(I2MTC)",

note = "2019 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2019 ; Conference date: 20-05-2019 Through 23-05-2019",

url = "http://i2mtc2019.ieee-ims.org",

}

Yang, A, Wang, Y, Tsui, KL & Zi, Y 2019, Lithium-ion Battery SOH Estimation and Fault Diagnosis with Missing Data. in 2019 IEEE International Instrumentation and Measurement Technology Conference(I2MTC). vol. 2019-May, 8826888, 2019 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2019, Auckland, New Zealand, 20/05/19. https://doi.org/10.1109/I2MTC.2019.8826888

Lithium-ion Battery SOH Estimation and Fault Diagnosis with Missing Data. / Yang, Ang; Wang, Yu; Tsui, Kowk Leung et al.
2019 IEEE International Instrumentation and Measurement Technology Conference(I2MTC). Vol. 2019-May 2019. 8826888.

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Lithium-ion Battery SOH Estimation and Fault Diagnosis with Missing Data

AU - Yang, Ang

AU - Wang, Yu

AU - Tsui, Kowk Leung

AU - Zi, Yanyang

PY - 2019/5

Y1 - 2019/5

N2 - State-of-health (SOH) is an important index indicating the batterys energy storage performance and health condition. However, the volume of SOH is highly dependent on the batterys initial capacity rather than the current capacity. Consequently, it is intractable to infer the SOH of batteries with missing data. In this paper, we propose a dynamic Peukerts law-based battery SOH estimation method. The dynamic Peukerts law correlates capacity loss with Peukerts coefficient, and eliminates the degradation inconsistency and is applicable for the same type of battery. Since the Peukerts coefficient can be calculated by multi-discharging test, the SOH is able to be estimated directly, and therefore, the limitation of data missing is overcome.

AB - State-of-health (SOH) is an important index indicating the batterys energy storage performance and health condition. However, the volume of SOH is highly dependent on the batterys initial capacity rather than the current capacity. Consequently, it is intractable to infer the SOH of batteries with missing data. In this paper, we propose a dynamic Peukerts law-based battery SOH estimation method. The dynamic Peukerts law correlates capacity loss with Peukerts coefficient, and eliminates the degradation inconsistency and is applicable for the same type of battery. Since the Peukerts coefficient can be calculated by multi-discharging test, the SOH is able to be estimated directly, and therefore, the limitation of data missing is overcome.

KW - Degradation

KW - Discharges (electric)

KW - Estimation

KW - Lithium-ion battery

KW - Mathematical model

KW - Mechanical engineering

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UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85072845815&origin=recordpage

U2 - 10.1109/I2MTC.2019.8826888

DO - 10.1109/I2MTC.2019.8826888

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 978-1-5386-3461-5

VL - 2019-May

BT - 2019 IEEE International Instrumentation and Measurement Technology Conference(I2MTC)

T2 - 2019 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2019

Y2 - 20 May 2019 through 23 May 2019

ER -

Lithium-ion Battery SOH Estimation and Fault Diagnosis with Missing Data

Abstract

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Research Keywords

UN SDGs

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