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

Civil Engineering

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