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Estimation and Fault Diagnosis of Lithium-Ion Batteries: A Fractional-Order System Approach
Joint Authors
Kong, Shulan
Saif, Mehrdad
Cui, Guozeng
Source
Mathematical Problems in Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-10-24
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
This study investigates estimation and fault diagnosis of fractional-order Lithium-ion battery system.
Two simple and common types of observers are designed to address the design of fault diagnosis and estimation for the fractional-order systems.
Fractional-order Luenberger observers are employed to generate residuals which are then used to investigate the feasibility of model based fault detection and isolation.
Once a fault is detected and isolated, a fractional-order sliding mode observer is constructed to provide an estimate of the isolated fault.
The paper presents some theoretical results for designing stable observers and fault estimators.
In particular, the notion of stability in the sense of Mittag-Leffler is first introduced to discuss the state estimation error dynamics.
Overall, the design of the Luenberger observer as well as the sliding mode observer can accomplish fault detection, fault isolation, and estimation.
The effectiveness of the proposed strategy on a three-cell battery string system is demonstrated.
American Psychological Association (APA)
Kong, Shulan& Saif, Mehrdad& Cui, Guozeng. 2018. Estimation and Fault Diagnosis of Lithium-Ion Batteries: A Fractional-Order System Approach. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1209442
Modern Language Association (MLA)
Kong, Shulan…[et al.]. Estimation and Fault Diagnosis of Lithium-Ion Batteries: A Fractional-Order System Approach. Mathematical Problems in Engineering No. 2018 (2018), pp.1-12.
https://search.emarefa.net/detail/BIM-1209442
American Medical Association (AMA)
Kong, Shulan& Saif, Mehrdad& Cui, Guozeng. Estimation and Fault Diagnosis of Lithium-Ion Batteries: A Fractional-Order System Approach. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1209442
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1209442