LAPSE:2018.1083
Published Article
LAPSE:2018.1083
Online Diagnosis for the Capacity Fade Fault of a Parallel-Connected Lithium Ion Battery Group
November 27, 2018
In a parallel-connected battery group (PCBG), capacity degradation is usually caused by the inconsistency between a faulty cell and other normal cells, and the inconsistency occurs due to two potential causes: an aging inconsistency fault or a loose contacting fault. In this paper, a novel method is proposed to perform online and real-time capacity fault diagnosis for PCBGs. Firstly, based on the analysis of parameter variation characteristics of a PCBG with different fault causes, it is found that PCBG resistance can be taken as an indicator for both seeking the faulty PCBG and distinguishing the fault causes. On one hand, the faulty PCBG can be identified by comparing the PCBG resistance among PCBGs; on the other hand, two fault causes can be distinguished by comparing the variance of the PCBG resistances. Furthermore, for online applications, a novel recursive-least-squares algorithm with restricted memory and constraint (RLSRMC), in which the constraint is added to eliminate the “imaginary number” phenomena of parameters, is developed and used in PCBG resistance identification. Lastly, fault simulation and validation results demonstrate that the proposed methods have good accuracy and reliability.
Record ID
Keywords
capacity fade, fault simulation, online fault diagnosis, parallel-connected battery group, recursive least squares algorithm with restricted memory and constraint
Subject
Suggested Citation
Zhang H, Pei L, Sun J, Song K, Lu R, Zhao Y, Zhu C, Wang T. Online Diagnosis for the Capacity Fade Fault of a Parallel-Connected Lithium Ion Battery Group. (2018). LAPSE:2018.1083
Author Affiliations
Zhang H: School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China; College of Electronic Science, Northeast Petroleum University, Daqing 163318, China
Pei L: School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China
Sun J: School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China
Song K: School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China
Lu R: School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China
Zhao Y: School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China
Zhu C: School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China
Wang T: School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China
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Pei L: School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China
Sun J: School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China
Song K: School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China
Lu R: School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China
Zhao Y: School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China
Zhu C: School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China
Wang T: School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China
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Journal Name
Energies
Volume
9
Issue
5
Article Number
E387
Year
2016
Publication Date
2016-05-20
Published Version
ISSN
1996-1073
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Original Submission
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PII: en9050387, Publication Type: Journal Article
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Published Article
LAPSE:2018.1083
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External Link
doi:10.3390/en9050387
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Version History
[v1] (Original Submission)
Nov 27, 2018
Verified by curator on
Nov 27, 2018
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https://psecommunity.org/LAPSE:2018.1083
Original Submitter
Calvin Tsay
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