Parameter and Order Identification of Fractional Systems with Application to a Lithium-Ion Battery

This paper deals with a method for the parameter and order identification of a fractional model. In contrast to existing approaches that can either handle noisy observations of the output signal or systems that are not at rest, the proposed method does not have to compromise between these two charac...

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Main Authors: Oliver Stark, Martin Pfeifer, Sören Hohmann
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/9/14/1607
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author Oliver Stark
Martin Pfeifer
Sören Hohmann
author_facet Oliver Stark
Martin Pfeifer
Sören Hohmann
author_sort Oliver Stark
collection DOAJ
description This paper deals with a method for the parameter and order identification of a fractional model. In contrast to existing approaches that can either handle noisy observations of the output signal or systems that are not at rest, the proposed method does not have to compromise between these two characteristics. To handle systems that are not at rest, the parameter, as well as the order identification, are based on the modulating function method. The novelty of the proposed method is that an optimization-based approach is used for the order identification. Thus, even if only noisy observations of the output signal are available, an approximate identification can be performed. The proposed identification method is, then, applied to identify the parameters and orders of a lithium-ion battery model. The experimental results illustrate the practical usefulness and verify the validity of our approach.
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spelling doaj.art-434f4a1ed7a14529b9f86489f704071b2023-11-22T04:19:27ZengMDPI AGMathematics2227-73902021-07-01914160710.3390/math9141607Parameter and Order Identification of Fractional Systems with Application to a Lithium-Ion BatteryOliver Stark0Martin Pfeifer1Sören Hohmann2Faculty of Electrical Engineering and Information Technology, Institute of Control Systems (IRS), Karlsruhe Institute of Technology (KIT), 76131 Karlsruhe, GermanyFaculty of Electrical Engineering and Information Technology, Institute of Control Systems (IRS), Karlsruhe Institute of Technology (KIT), 76131 Karlsruhe, GermanyFaculty of Electrical Engineering and Information Technology, Institute of Control Systems (IRS), Karlsruhe Institute of Technology (KIT), 76131 Karlsruhe, GermanyThis paper deals with a method for the parameter and order identification of a fractional model. In contrast to existing approaches that can either handle noisy observations of the output signal or systems that are not at rest, the proposed method does not have to compromise between these two characteristics. To handle systems that are not at rest, the parameter, as well as the order identification, are based on the modulating function method. The novelty of the proposed method is that an optimization-based approach is used for the order identification. Thus, even if only noisy observations of the output signal are available, an approximate identification can be performed. The proposed identification method is, then, applied to identify the parameters and orders of a lithium-ion battery model. The experimental results illustrate the practical usefulness and verify the validity of our approach.https://www.mdpi.com/2227-7390/9/14/1607fractional analysislithium-ion batteryparameter and order identification
spellingShingle Oliver Stark
Martin Pfeifer
Sören Hohmann
Parameter and Order Identification of Fractional Systems with Application to a Lithium-Ion Battery
Mathematics
fractional analysis
lithium-ion battery
parameter and order identification
title Parameter and Order Identification of Fractional Systems with Application to a Lithium-Ion Battery
title_full Parameter and Order Identification of Fractional Systems with Application to a Lithium-Ion Battery
title_fullStr Parameter and Order Identification of Fractional Systems with Application to a Lithium-Ion Battery
title_full_unstemmed Parameter and Order Identification of Fractional Systems with Application to a Lithium-Ion Battery
title_short Parameter and Order Identification of Fractional Systems with Application to a Lithium-Ion Battery
title_sort parameter and order identification of fractional systems with application to a lithium ion battery
topic fractional analysis
lithium-ion battery
parameter and order identification
url https://www.mdpi.com/2227-7390/9/14/1607
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