Indirect Measurement Method of Energy Storage Lithium-Ion Battery Electro-Chemical Parameters

Zhiheng Yi; Yuchen Song; Datong Liu

doi:10.1109/ICEMI59194.2023.10269864

Indirect Measurement Method of Energy Storage Lithium-Ion Battery Electro-Chemical Parameters

Zhiheng Yi
, Yuchen Song^*
, Datong Liu^*

^*Corresponding author for this work

School of Electronics and Information Engineering, Harbin Institute of Technology

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

1 Scopus citations

Abstract

Lithiumion batteries are widely used in energy storage scenario because of their multiple privileges to improve the absorption ability of new energy systems. Electro-chemical parameters can describe the physical and chemical properties of battery internal component and material and provide abundant internal state information. The operating condition of energy storage lithium-ion battery is characterized of long continuous operating durations and random discharge process depending only on the load, which make the direct measurement of internal material and state change difficult to realize. In this paper, an indirect measurement method of lithium-ion battery elector-chemical parameters is proposed. A multi-step parameter initial value and identification interval determination schematic is proposed under the assistant of Bayesian Neural Network. Special current activation is also designed to satisfy the online application scenario. The proposed method is proved through simulation and realize highly efficient and accurate lithium-ion battery electrochemical parameter measurement.

Original language	English
Title of host publication	Proceedings of 2023 IEEE 16th International Conference on Electronic Measurement and Instruments, ICEMI 2023
Editors	Juan Wu, Jiali Yin
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	244-249
Number of pages	6
ISBN (Electronic)	9798350327144
DOIs	https://doi.org/10.1109/ICEMI59194.2023.10269864
State	Published - 2023
Externally published	Yes
Event	16th IEEE International Conference on Electronic Measurement and Instruments, ICEMI 2023 - Harbin, China Duration: 9 Aug 2023 → 11 Aug 2023

Publication series

Name	Proceedings of 2023 IEEE 16th International Conference on Electronic Measurement and Instruments, ICEMI 2023

Conference

Conference	16th IEEE International Conference on Electronic Measurement and Instruments, ICEMI 2023
Country/Territory	China
City	Harbin
Period	9/08/23 → 11/08/23

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

electro-chemical parameter indirect measurement
energy storage
lithium-ion battery
performance degradation
pseudo 2-dimension model

Access to Document

10.1109/ICEMI59194.2023.10269864

Cite this

Yi, Z., Song, Y., & Liu, D. (2023). Indirect Measurement Method of Energy Storage Lithium-Ion Battery Electro-Chemical Parameters. In J. Wu, & J. Yin (Eds.), Proceedings of 2023 IEEE 16th International Conference on Electronic Measurement and Instruments, ICEMI 2023 (pp. 244-249). (Proceedings of 2023 IEEE 16th International Conference on Electronic Measurement and Instruments, ICEMI 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICEMI59194.2023.10269864

Yi, Zhiheng ; Song, Yuchen ; Liu, Datong. / Indirect Measurement Method of Energy Storage Lithium-Ion Battery Electro-Chemical Parameters. Proceedings of 2023 IEEE 16th International Conference on Electronic Measurement and Instruments, ICEMI 2023. editor / Juan Wu ; Jiali Yin. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 244-249 (Proceedings of 2023 IEEE 16th International Conference on Electronic Measurement and Instruments, ICEMI 2023).

@inproceedings{28aaae94c3aa44f5beca8bb55a7a23fd,

title = "Indirect Measurement Method of Energy Storage Lithium-Ion Battery Electro-Chemical Parameters",

abstract = "Lithiumion batteries are widely used in energy storage scenario because of their multiple privileges to improve the absorption ability of new energy systems. Electro-chemical parameters can describe the physical and chemical properties of battery internal component and material and provide abundant internal state information. The operating condition of energy storage lithium-ion battery is characterized of long continuous operating durations and random discharge process depending only on the load, which make the direct measurement of internal material and state change difficult to realize. In this paper, an indirect measurement method of lithium-ion battery elector-chemical parameters is proposed. A multi-step parameter initial value and identification interval determination schematic is proposed under the assistant of Bayesian Neural Network. Special current activation is also designed to satisfy the online application scenario. The proposed method is proved through simulation and realize highly efficient and accurate lithium-ion battery electrochemical parameter measurement.",

keywords = "electro-chemical parameter indirect measurement, energy storage, lithium-ion battery, performance degradation, pseudo 2-dimension model",

author = "Zhiheng Yi and Yuchen Song and Datong Liu",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 16th IEEE International Conference on Electronic Measurement and Instruments, ICEMI 2023 ; Conference date: 09-08-2023 Through 11-08-2023",

year = "2023",

doi = "10.1109/ICEMI59194.2023.10269864",

language = "英语",

series = "Proceedings of 2023 IEEE 16th International Conference on Electronic Measurement and Instruments, ICEMI 2023",

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

pages = "244--249",

editor = "Juan Wu and Jiali Yin",

booktitle = "Proceedings of 2023 IEEE 16th International Conference on Electronic Measurement and Instruments, ICEMI 2023",

address = "美国",

}

Yi, Z, Song, Y & Liu, D 2023, Indirect Measurement Method of Energy Storage Lithium-Ion Battery Electro-Chemical Parameters. in J Wu & J Yin (eds), Proceedings of 2023 IEEE 16th International Conference on Electronic Measurement and Instruments, ICEMI 2023. Proceedings of 2023 IEEE 16th International Conference on Electronic Measurement and Instruments, ICEMI 2023, Institute of Electrical and Electronics Engineers Inc., pp. 244-249, 16th IEEE International Conference on Electronic Measurement and Instruments, ICEMI 2023, Harbin, China, 9/08/23. https://doi.org/10.1109/ICEMI59194.2023.10269864

Indirect Measurement Method of Energy Storage Lithium-Ion Battery Electro-Chemical Parameters. / Yi, Zhiheng; Song, Yuchen ; Liu, Datong.
Proceedings of 2023 IEEE 16th International Conference on Electronic Measurement and Instruments, ICEMI 2023. ed. / Juan Wu; Jiali Yin. Institute of Electrical and Electronics Engineers Inc., 2023. p. 244-249 (Proceedings of 2023 IEEE 16th International Conference on Electronic Measurement and Instruments, ICEMI 2023).

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

TY - GEN

T1 - Indirect Measurement Method of Energy Storage Lithium-Ion Battery Electro-Chemical Parameters

AU - Yi, Zhiheng

AU - Song, Yuchen

AU - Liu, Datong

PY - 2023

Y1 - 2023

N2 - Lithiumion batteries are widely used in energy storage scenario because of their multiple privileges to improve the absorption ability of new energy systems. Electro-chemical parameters can describe the physical and chemical properties of battery internal component and material and provide abundant internal state information. The operating condition of energy storage lithium-ion battery is characterized of long continuous operating durations and random discharge process depending only on the load, which make the direct measurement of internal material and state change difficult to realize. In this paper, an indirect measurement method of lithium-ion battery elector-chemical parameters is proposed. A multi-step parameter initial value and identification interval determination schematic is proposed under the assistant of Bayesian Neural Network. Special current activation is also designed to satisfy the online application scenario. The proposed method is proved through simulation and realize highly efficient and accurate lithium-ion battery electrochemical parameter measurement.

AB - Lithiumion batteries are widely used in energy storage scenario because of their multiple privileges to improve the absorption ability of new energy systems. Electro-chemical parameters can describe the physical and chemical properties of battery internal component and material and provide abundant internal state information. The operating condition of energy storage lithium-ion battery is characterized of long continuous operating durations and random discharge process depending only on the load, which make the direct measurement of internal material and state change difficult to realize. In this paper, an indirect measurement method of lithium-ion battery elector-chemical parameters is proposed. A multi-step parameter initial value and identification interval determination schematic is proposed under the assistant of Bayesian Neural Network. Special current activation is also designed to satisfy the online application scenario. The proposed method is proved through simulation and realize highly efficient and accurate lithium-ion battery electrochemical parameter measurement.

KW - electro-chemical parameter indirect measurement

KW - energy storage

KW - lithium-ion battery

KW - performance degradation

KW - pseudo 2-dimension model

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U2 - 10.1109/ICEMI59194.2023.10269864

DO - 10.1109/ICEMI59194.2023.10269864

M3 - 会议稿件

AN - SCOPUS:85174974348

T3 - Proceedings of 2023 IEEE 16th International Conference on Electronic Measurement and Instruments, ICEMI 2023

SP - 244

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BT - Proceedings of 2023 IEEE 16th International Conference on Electronic Measurement and Instruments, ICEMI 2023

A2 - Wu, Juan

A2 - Yin, Jiali

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 16th IEEE International Conference on Electronic Measurement and Instruments, ICEMI 2023

Y2 - 9 August 2023 through 11 August 2023

ER -

Yi Z, Song Y , Liu D. Indirect Measurement Method of Energy Storage Lithium-Ion Battery Electro-Chemical Parameters. In Wu J, Yin J, editors, Proceedings of 2023 IEEE 16th International Conference on Electronic Measurement and Instruments, ICEMI 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 244-249. (Proceedings of 2023 IEEE 16th International Conference on Electronic Measurement and Instruments, ICEMI 2023). doi: 10.1109/ICEMI59194.2023.10269864

Indirect Measurement Method of Energy Storage Lithium-Ion Battery Electro-Chemical Parameters

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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