Model-based sensor fault diagnostics of Double-Layer Capacitors

Satadru Dey; Sara Mohon; Simona Onori

doi:10.1109/ACC.2016.7525130

Model-based sensor fault diagnostics of Double-Layer Capacitors

Satadru Dey
, Sara Mohon
, Simona Onori

Mechanical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Scopus citations

Abstract

Double-Layer Capacitors (DLC) are becoming popular energy storage elements in several systems such as automotive propulsion systems, renewable energy storage and auxiliary power units. Optimal energy management, estimation and control algorithms for such DLCs heavily depend on sensor measurements, namely voltage, current and temperature sensors. Any fault in such sensors may result in degraded operation of DLCs thereby increasing the risk of significant damage. In this paper, an equivalent circuit model in conjunction with a set of observers is employed to design a sensor fault diagnosis scheme for DLCs. The scheme consists of an electrical and a temperature observer, the output errors of which are used as residual signals for fault diagnosis. Further, to suppress the effects of modeling uncertainties, adaptive threshold generators are also designed. Simulation studies are presented to validate the effectiveness of the proposed approach.

Original language	English (US)
Title of host publication	2016 American Control Conference, ACC 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1512-1517
Number of pages	6
ISBN (Electronic)	9781467386821
DOIs	https://doi.org/10.1109/ACC.2016.7525130
State	Published - Jul 28 2016
Event	2016 American Control Conference, ACC 2016 - Boston, United States Duration: Jul 6 2016 → Jul 8 2016

Publication series

Name	Proceedings of the American Control Conference
Volume	2016-July
ISSN (Print)	0743-1619

Other

Other	2016 American Control Conference, ACC 2016
Country/Territory	United States
City	Boston
Period	7/6/16 → 7/8/16

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering

Access to Document

10.1109/ACC.2016.7525130

Cite this

@inproceedings{4d33fe5c711c4852a90479562bf8be70,

title = "Model-based sensor fault diagnostics of Double-Layer Capacitors",

abstract = "Double-Layer Capacitors (DLC) are becoming popular energy storage elements in several systems such as automotive propulsion systems, renewable energy storage and auxiliary power units. Optimal energy management, estimation and control algorithms for such DLCs heavily depend on sensor measurements, namely voltage, current and temperature sensors. Any fault in such sensors may result in degraded operation of DLCs thereby increasing the risk of significant damage. In this paper, an equivalent circuit model in conjunction with a set of observers is employed to design a sensor fault diagnosis scheme for DLCs. The scheme consists of an electrical and a temperature observer, the output errors of which are used as residual signals for fault diagnosis. Further, to suppress the effects of modeling uncertainties, adaptive threshold generators are also designed. Simulation studies are presented to validate the effectiveness of the proposed approach.",

author = "Satadru Dey and Sara Mohon and Simona Onori",

note = "Publisher Copyright: {\textcopyright} 2016 American Automatic Control Council (AACC).; 2016 American Control Conference, ACC 2016 ; Conference date: 06-07-2016 Through 08-07-2016",

year = "2016",

month = jul,

day = "28",

doi = "10.1109/ACC.2016.7525130",

language = "English (US)",

series = "Proceedings of the American Control Conference",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1512--1517",

booktitle = "2016 American Control Conference, ACC 2016",

address = "United States",

}

Dey, S, Mohon, S & Onori, S 2016, Model-based sensor fault diagnostics of Double-Layer Capacitors. in 2016 American Control Conference, ACC 2016., 7525130, Proceedings of the American Control Conference, vol. 2016-July, Institute of Electrical and Electronics Engineers Inc., pp. 1512-1517, 2016 American Control Conference, ACC 2016, Boston, United States, 7/6/16. https://doi.org/10.1109/ACC.2016.7525130

Model-based sensor fault diagnostics of Double-Layer Capacitors. / Dey, Satadru; Mohon, Sara; Onori, Simona.
2016 American Control Conference, ACC 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 1512-1517 7525130 (Proceedings of the American Control Conference; Vol. 2016-July).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Model-based sensor fault diagnostics of Double-Layer Capacitors

AU - Dey, Satadru

AU - Mohon, Sara

AU - Onori, Simona

PY - 2016/7/28

Y1 - 2016/7/28

N2 - Double-Layer Capacitors (DLC) are becoming popular energy storage elements in several systems such as automotive propulsion systems, renewable energy storage and auxiliary power units. Optimal energy management, estimation and control algorithms for such DLCs heavily depend on sensor measurements, namely voltage, current and temperature sensors. Any fault in such sensors may result in degraded operation of DLCs thereby increasing the risk of significant damage. In this paper, an equivalent circuit model in conjunction with a set of observers is employed to design a sensor fault diagnosis scheme for DLCs. The scheme consists of an electrical and a temperature observer, the output errors of which are used as residual signals for fault diagnosis. Further, to suppress the effects of modeling uncertainties, adaptive threshold generators are also designed. Simulation studies are presented to validate the effectiveness of the proposed approach.

AB - Double-Layer Capacitors (DLC) are becoming popular energy storage elements in several systems such as automotive propulsion systems, renewable energy storage and auxiliary power units. Optimal energy management, estimation and control algorithms for such DLCs heavily depend on sensor measurements, namely voltage, current and temperature sensors. Any fault in such sensors may result in degraded operation of DLCs thereby increasing the risk of significant damage. In this paper, an equivalent circuit model in conjunction with a set of observers is employed to design a sensor fault diagnosis scheme for DLCs. The scheme consists of an electrical and a temperature observer, the output errors of which are used as residual signals for fault diagnosis. Further, to suppress the effects of modeling uncertainties, adaptive threshold generators are also designed. Simulation studies are presented to validate the effectiveness of the proposed approach.

UR - https://www.scopus.com/pages/publications/84992122677

UR - https://www.scopus.com/pages/publications/84992122677#tab=citedBy

U2 - 10.1109/ACC.2016.7525130

DO - 10.1109/ACC.2016.7525130

M3 - Conference contribution

AN - SCOPUS:84992122677

T3 - Proceedings of the American Control Conference

SP - 1512

EP - 1517

BT - 2016 American Control Conference, ACC 2016

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2016 American Control Conference, ACC 2016

Y2 - 6 July 2016 through 8 July 2016

ER -

Model-based sensor fault diagnostics of Double-Layer Capacitors

Abstract

Publication series

Other

UN SDGs

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this