Practical state of health estimation of lithium-ion battery with high robustness to charging partialness

Haokai Ruan; Hongwen He; Zhongbao Wei

doi:10.1109/ITEC51675.2021.9490093

Practical state of health estimation of lithium-ion battery with high robustness to charging partialness

Haokai Ruan
, Hongwen He
, Zhongbao Wei^*

^*Corresponding author for this work

School of Mechanical Engineering

Beijing Institute of Technology

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

Abstract

State of health (SOH) estimation is critical for the lithium-ion battery health management. In this paper, a new set of health indicators (HIs) based on partial constant-current charging are extracted by scrutinizing the correlation against the SOH and the robustness to uncertainty of practical disturbance. A multiple linear regression model with an activation function is further established to construct the relationship between the extracted HIs and the battery capacity. Results give sufficient evidence for the low requirement on the charging integrity, the sufficient adaptability to the practical disturbances and the high robustness to cell inconsistency of the proposed method.

Original language	English
Title of host publication	2021 IEEE Transportation Electrification Conference and Expo, ITEC 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	401-406
Number of pages	6
ISBN (Electronic)	9781728175836
DOIs	https://doi.org/10.1109/ITEC51675.2021.9490093
Publication status	Published - 21 Jun 2021
Event	2021 IEEE Transportation Electrification Conference and Expo, ITEC 2021 - Chicago, United States Duration: 21 Jun 2021 → 25 Jun 2021

Publication series

Name	2021 IEEE Transportation Electrification Conference and Expo, ITEC 2021

Conference

Conference	2021 IEEE Transportation Electrification Conference and Expo, ITEC 2021
Country/Territory	United States
City	Chicago
Period	21/06/21 → 25/06/21

UN SDGs

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

SDG 7 Affordable and Clean Energy

Access to Document

10.1109/ITEC51675.2021.9490093

Cite this

Ruan, H., He, H., & Wei, Z. (2021). Practical state of health estimation of lithium-ion battery with high robustness to charging partialness. In 2021 IEEE Transportation Electrification Conference and Expo, ITEC 2021 (pp. 401-406). (2021 IEEE Transportation Electrification Conference and Expo, ITEC 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ITEC51675.2021.9490093

Ruan, Haokai ; He, Hongwen ; Wei, Zhongbao. / Practical state of health estimation of lithium-ion battery with high robustness to charging partialness. 2021 IEEE Transportation Electrification Conference and Expo, ITEC 2021. Institute of Electrical and Electronics Engineers Inc., 2021. pp. 401-406 (2021 IEEE Transportation Electrification Conference and Expo, ITEC 2021).

@inproceedings{7c750794844e4442bdd7313e572dfd6f,

title = "Practical state of health estimation of lithium-ion battery with high robustness to charging partialness",

abstract = "State of health (SOH) estimation is critical for the lithium-ion battery health management. In this paper, a new set of health indicators (HIs) based on partial constant-current charging are extracted by scrutinizing the correlation against the SOH and the robustness to uncertainty of practical disturbance. A multiple linear regression model with an activation function is further established to construct the relationship between the extracted HIs and the battery capacity. Results give sufficient evidence for the low requirement on the charging integrity, the sufficient adaptability to the practical disturbances and the high robustness to cell inconsistency of the proposed method.",

author = "Haokai Ruan and Hongwen He and Zhongbao Wei",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE Transportation Electrification Conference and Expo, ITEC 2021 ; Conference date: 21-06-2021 Through 25-06-2021",

year = "2021",

month = jun,

day = "21",

doi = "10.1109/ITEC51675.2021.9490093",

language = "English",

series = "2021 IEEE Transportation Electrification Conference and Expo, ITEC 2021",

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

pages = "401--406",

booktitle = "2021 IEEE Transportation Electrification Conference and Expo, ITEC 2021",

address = "United States",

}

Ruan, H, He, H & Wei, Z 2021, Practical state of health estimation of lithium-ion battery with high robustness to charging partialness. in 2021 IEEE Transportation Electrification Conference and Expo, ITEC 2021. 2021 IEEE Transportation Electrification Conference and Expo, ITEC 2021, Institute of Electrical and Electronics Engineers Inc., pp. 401-406, 2021 IEEE Transportation Electrification Conference and Expo, ITEC 2021, Chicago, United States, 21/06/21. https://doi.org/10.1109/ITEC51675.2021.9490093

Practical state of health estimation of lithium-ion battery with high robustness to charging partialness. / Ruan, Haokai; He, Hongwen ; Wei, Zhongbao.
2021 IEEE Transportation Electrification Conference and Expo, ITEC 2021. Institute of Electrical and Electronics Engineers Inc., 2021. p. 401-406 (2021 IEEE Transportation Electrification Conference and Expo, ITEC 2021).

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

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AU - Ruan, Haokai

AU - He, Hongwen

AU - Wei, Zhongbao

PY - 2021/6/21

Y1 - 2021/6/21

N2 - State of health (SOH) estimation is critical for the lithium-ion battery health management. In this paper, a new set of health indicators (HIs) based on partial constant-current charging are extracted by scrutinizing the correlation against the SOH and the robustness to uncertainty of practical disturbance. A multiple linear regression model with an activation function is further established to construct the relationship between the extracted HIs and the battery capacity. Results give sufficient evidence for the low requirement on the charging integrity, the sufficient adaptability to the practical disturbances and the high robustness to cell inconsistency of the proposed method.

AB - State of health (SOH) estimation is critical for the lithium-ion battery health management. In this paper, a new set of health indicators (HIs) based on partial constant-current charging are extracted by scrutinizing the correlation against the SOH and the robustness to uncertainty of practical disturbance. A multiple linear regression model with an activation function is further established to construct the relationship between the extracted HIs and the battery capacity. Results give sufficient evidence for the low requirement on the charging integrity, the sufficient adaptability to the practical disturbances and the high robustness to cell inconsistency of the proposed method.

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DO - 10.1109/ITEC51675.2021.9490093

M3 - Conference contribution

AN - SCOPUS:85114504342

T3 - 2021 IEEE Transportation Electrification Conference and Expo, ITEC 2021

SP - 401

EP - 406

BT - 2021 IEEE Transportation Electrification Conference and Expo, ITEC 2021

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2021 IEEE Transportation Electrification Conference and Expo, ITEC 2021

Y2 - 21 June 2021 through 25 June 2021

ER -

Ruan H, He H , Wei Z. Practical state of health estimation of lithium-ion battery with high robustness to charging partialness. In 2021 IEEE Transportation Electrification Conference and Expo, ITEC 2021. Institute of Electrical and Electronics Engineers Inc. 2021. p. 401-406. (2021 IEEE Transportation Electrification Conference and Expo, ITEC 2021). doi: 10.1109/ITEC51675.2021.9490093

Practical state of health estimation of lithium-ion battery with high robustness to charging partialness

Abstract

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