A comparative Study on Model-based Diagnosis Methods of Overcharge-induced Damage for Li-ion Battery

Haifu Jiang; Junqiu Li; Zhixiong Chai; Zichuan Yang

doi:10.1109/CCDC49329.2020.9164423

A comparative Study on Model-based Diagnosis Methods of Overcharge-induced Damage for Li-ion Battery

Haifu Jiang, Junqiu Li^*, Zhixiong Chai, Zichuan Yang

^*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

3 Citations (Scopus)

Abstract

Due to the inconsistency of cells or the charger malfunction, the battery may suffer overcharge that damages the battery. The irreversible damage should be detected to reveal the hidden dangers while the batteries operating in its normal SOC range. In this paper, online identification and multi-model adaptive estimation (MMAE), are introduced for the comparative study on overcharge-induced damage diagnosis in the simulation case. Besides, the impact of different filters (Kalman filter, strong tracking Kalman filter, and H-infinity filter) on MMAE are discussed. On this basis, the improved model-based fault diagnosis framework is proposed to achieve better practicability and performance.

Original language	English
Title of host publication	Proceedings of the 32nd Chinese Control and Decision Conference, CCDC 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	5350-5355
Number of pages	6
ISBN (Electronic)	9781728158549
DOIs	https://doi.org/10.1109/CCDC49329.2020.9164423
Publication status	Published - Aug 2020
Event	32nd Chinese Control and Decision Conference, CCDC 2020 - Hefei, China Duration: 22 Aug 2020 → 24 Aug 2020

Publication series

Name	Proceedings of the 32nd Chinese Control and Decision Conference, CCDC 2020

Conference

Conference	32nd Chinese Control and Decision Conference, CCDC 2020
Country/Territory	China
City	Hefei
Period	22/08/20 → 24/08/20

Keywords

Fault diagnosis
Li-ion battery
Multi-model adaptive estimation
Overcharge-induced damage

Access to Document

10.1109/CCDC49329.2020.9164423

Cite this

Jiang, H., Li, J., Chai, Z., & Yang, Z. (2020). A comparative Study on Model-based Diagnosis Methods of Overcharge-induced Damage for Li-ion Battery. In Proceedings of the 32nd Chinese Control and Decision Conference, CCDC 2020 (pp. 5350-5355). Article 9164423 (Proceedings of the 32nd Chinese Control and Decision Conference, CCDC 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CCDC49329.2020.9164423

Jiang, Haifu ; Li, Junqiu ; Chai, Zhixiong et al. / A comparative Study on Model-based Diagnosis Methods of Overcharge-induced Damage for Li-ion Battery. Proceedings of the 32nd Chinese Control and Decision Conference, CCDC 2020. Institute of Electrical and Electronics Engineers Inc., 2020. pp. 5350-5355 (Proceedings of the 32nd Chinese Control and Decision Conference, CCDC 2020).

@inproceedings{3a3129c0da934c5bb9eea631cb7d84ab,

title = "A comparative Study on Model-based Diagnosis Methods of Overcharge-induced Damage for Li-ion Battery",

abstract = "Due to the inconsistency of cells or the charger malfunction, the battery may suffer overcharge that damages the battery. The irreversible damage should be detected to reveal the hidden dangers while the batteries operating in its normal SOC range. In this paper, online identification and multi-model adaptive estimation (MMAE), are introduced for the comparative study on overcharge-induced damage diagnosis in the simulation case. Besides, the impact of different filters (Kalman filter, strong tracking Kalman filter, and H-infinity filter) on MMAE are discussed. On this basis, the improved model-based fault diagnosis framework is proposed to achieve better practicability and performance.",

keywords = "Fault diagnosis, Li-ion battery, Multi-model adaptive estimation, Overcharge-induced damage",

author = "Haifu Jiang and Junqiu Li and Zhixiong Chai and Zichuan Yang",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 32nd Chinese Control and Decision Conference, CCDC 2020 ; Conference date: 22-08-2020 Through 24-08-2020",

year = "2020",

month = aug,

doi = "10.1109/CCDC49329.2020.9164423",

language = "English",

series = "Proceedings of the 32nd Chinese Control and Decision Conference, CCDC 2020",

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

pages = "5350--5355",

booktitle = "Proceedings of the 32nd Chinese Control and Decision Conference, CCDC 2020",

address = "United States",

}

Jiang, H, Li, J, Chai, Z & Yang, Z 2020, A comparative Study on Model-based Diagnosis Methods of Overcharge-induced Damage for Li-ion Battery. in Proceedings of the 32nd Chinese Control and Decision Conference, CCDC 2020., 9164423, Proceedings of the 32nd Chinese Control and Decision Conference, CCDC 2020, Institute of Electrical and Electronics Engineers Inc., pp. 5350-5355, 32nd Chinese Control and Decision Conference, CCDC 2020, Hefei, China, 22/08/20. https://doi.org/10.1109/CCDC49329.2020.9164423

A comparative Study on Model-based Diagnosis Methods of Overcharge-induced Damage for Li-ion Battery. / Jiang, Haifu; Li, Junqiu; Chai, Zhixiong et al.
Proceedings of the 32nd Chinese Control and Decision Conference, CCDC 2020. Institute of Electrical and Electronics Engineers Inc., 2020. p. 5350-5355 9164423 (Proceedings of the 32nd Chinese Control and Decision Conference, CCDC 2020).

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

TY - GEN

T1 - A comparative Study on Model-based Diagnosis Methods of Overcharge-induced Damage for Li-ion Battery

AU - Jiang, Haifu

AU - Li, Junqiu

AU - Chai, Zhixiong

AU - Yang, Zichuan

PY - 2020/8

Y1 - 2020/8

N2 - Due to the inconsistency of cells or the charger malfunction, the battery may suffer overcharge that damages the battery. The irreversible damage should be detected to reveal the hidden dangers while the batteries operating in its normal SOC range. In this paper, online identification and multi-model adaptive estimation (MMAE), are introduced for the comparative study on overcharge-induced damage diagnosis in the simulation case. Besides, the impact of different filters (Kalman filter, strong tracking Kalman filter, and H-infinity filter) on MMAE are discussed. On this basis, the improved model-based fault diagnosis framework is proposed to achieve better practicability and performance.

AB - Due to the inconsistency of cells or the charger malfunction, the battery may suffer overcharge that damages the battery. The irreversible damage should be detected to reveal the hidden dangers while the batteries operating in its normal SOC range. In this paper, online identification and multi-model adaptive estimation (MMAE), are introduced for the comparative study on overcharge-induced damage diagnosis in the simulation case. Besides, the impact of different filters (Kalman filter, strong tracking Kalman filter, and H-infinity filter) on MMAE are discussed. On this basis, the improved model-based fault diagnosis framework is proposed to achieve better practicability and performance.

KW - Fault diagnosis

KW - Li-ion battery

KW - Multi-model adaptive estimation

KW - Overcharge-induced damage

UR - http://www.scopus.com/inward/record.url?scp=85091563599&partnerID=8YFLogxK

U2 - 10.1109/CCDC49329.2020.9164423

DO - 10.1109/CCDC49329.2020.9164423

M3 - Conference contribution

AN - SCOPUS:85091563599

T3 - Proceedings of the 32nd Chinese Control and Decision Conference, CCDC 2020

SP - 5350

EP - 5355

BT - Proceedings of the 32nd Chinese Control and Decision Conference, CCDC 2020

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 32nd Chinese Control and Decision Conference, CCDC 2020

Y2 - 22 August 2020 through 24 August 2020

ER -

Jiang H, Li J, Chai Z, Yang Z. A comparative Study on Model-based Diagnosis Methods of Overcharge-induced Damage for Li-ion Battery. In Proceedings of the 32nd Chinese Control and Decision Conference, CCDC 2020. Institute of Electrical and Electronics Engineers Inc. 2020. p. 5350-5355. 9164423. (Proceedings of the 32nd Chinese Control and Decision Conference, CCDC 2020). doi: 10.1109/CCDC49329.2020.9164423

A comparative Study on Model-based Diagnosis Methods of Overcharge-induced Damage for Li-ion Battery

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this