Estimation and fault diagnosis of Lithium-ion batteries: a fractional-order system approach
type: Item
instance of: scholarly article
title: Estimation and fault diagnosis of Lithium-ion batteries: a fractional-order system approach
zbMATH Open document ID: 1427.93057
DOI: 10.1155/2018/8705363
author: Shulan Kong
author: M. Saif
author: Guozeng Cui
author: Hiroaki Mukaidani
published in: Mathematical Problems in Engineering
publication date: 2019-02-08T00:00:00Z
review text: Summary: 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.
Mathematics Subject Classification ID: 93B30
Mathematics Subject Classification ID: 34A08
Mathematics Subject Classification ID: 93B07
Mathematics Subject Classification ID: 93B12
zbMATH DE Number: 7019653
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2018/8705363
OpenAlex ID: W2898380208
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Wikidata QID: Q129080551
description: scientific article; zbMATH DE number 7019653