Abnormal overheating detectability analysis based on cross Gramian for a supercapacitors string

Vita Lystianingrum; Branislav Hredzak; Vassilios G. Agelidis

doi:10.1109/PESGM.2016.7741824

Abnormal overheating detectability analysis based on cross Gramian for a supercapacitors string

Vita Lystianingrum
, Branislav Hredzak
, Vassilios G. Agelidis

University of New South Wales

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

3 Citations (Scopus)

Abstract

Model-based temperature estimation has been widely studied and applied in many applications, including for power/energy storage applications such as batteries or supercapacitors (SCs). In this paper, sensors placement for a temperature monitoring and diagnostic system is studied, with respect not only to the state estimation during normal condition but also abnormal overheating detection. The abnormal overheating is modelled as an unknown additional disturbance. Several measures based on the cross Gramian matrix are used as the basis for the optimal sensors placement for the overheating detectability, and the placement selection is evaluated from different overheating simulation scenarios. A naïve sensor placement which intuitively places the sensors in an evenly distributed manner along the string is also included to confirm the usefulness of the cross Gramian measure-based sensors placement.

Original language	English
Title of host publication	2016 IEEE Power and Energy Society General Meeting, PESGM 2016
Publisher	IEEE Computer Society
ISBN (Electronic)	9781509041688
DOIs	https://doi.org/10.1109/PESGM.2016.7741824
Publication status	Published - 10 Nov 2016
Event	2016 IEEE Power and Energy Society General Meeting, PESGM 2016 - Boston, United States Duration: 17 Jul 2016 → 21 Jul 2016

Publication series

Name	IEEE Power and Energy Society General Meeting
Volume	2016-November
ISSN (Print)	1944-9925
ISSN (Electronic)	1944-9933

Conference

Conference	2016 IEEE Power and Energy Society General Meeting, PESGM 2016
Country/Territory	United States
City	Boston
Period	17/07/16 → 21/07/16

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Controllability
Estimation
Observability
Supercapacitors
Temperature
Thermal sensors

Access to Document

10.1109/PESGM.2016.7741824

Cite this

Lystianingrum, V., Hredzak, B., & Agelidis, V. G. (2016). Abnormal overheating detectability analysis based on cross Gramian for a supercapacitors string. In 2016 IEEE Power and Energy Society General Meeting, PESGM 2016 Article 7741824 (IEEE Power and Energy Society General Meeting; Vol. 2016-November). IEEE Computer Society. https://doi.org/10.1109/PESGM.2016.7741824

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title = "Abnormal overheating detectability analysis based on cross Gramian for a supercapacitors string",

abstract = "Model-based temperature estimation has been widely studied and applied in many applications, including for power/energy storage applications such as batteries or supercapacitors (SCs). In this paper, sensors placement for a temperature monitoring and diagnostic system is studied, with respect not only to the state estimation during normal condition but also abnormal overheating detection. The abnormal overheating is modelled as an unknown additional disturbance. Several measures based on the cross Gramian matrix are used as the basis for the optimal sensors placement for the overheating detectability, and the placement selection is evaluated from different overheating simulation scenarios. A na{\"i}ve sensor placement which intuitively places the sensors in an evenly distributed manner along the string is also included to confirm the usefulness of the cross Gramian measure-based sensors placement.",

keywords = "Controllability, Estimation, Observability, Supercapacitors, Temperature, Thermal sensors",

author = "Vita Lystianingrum and Branislav Hredzak and Agelidis, \{Vassilios G.\}",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE Power and Energy Society General Meeting, PESGM 2016 ; Conference date: 17-07-2016 Through 21-07-2016",

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doi = "10.1109/PESGM.2016.7741824",

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Lystianingrum, V, Hredzak, B & Agelidis, VG 2016, Abnormal overheating detectability analysis based on cross Gramian for a supercapacitors string. in 2016 IEEE Power and Energy Society General Meeting, PESGM 2016., 7741824, IEEE Power and Energy Society General Meeting, vol. 2016-November, IEEE Computer Society, 2016 IEEE Power and Energy Society General Meeting, PESGM 2016, Boston, United States, 17/07/16. https://doi.org/10.1109/PESGM.2016.7741824

Abnormal overheating detectability analysis based on cross Gramian for a supercapacitors string. / Lystianingrum, Vita; Hredzak, Branislav; Agelidis, Vassilios G.
2016 IEEE Power and Energy Society General Meeting, PESGM 2016. IEEE Computer Society, 2016. 7741824 (IEEE Power and Energy Society General Meeting; Vol. 2016-November).

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

TY - GEN

T1 - Abnormal overheating detectability analysis based on cross Gramian for a supercapacitors string

AU - Lystianingrum, Vita

AU - Hredzak, Branislav

AU - Agelidis, Vassilios G.

PY - 2016/11/10

Y1 - 2016/11/10

N2 - Model-based temperature estimation has been widely studied and applied in many applications, including for power/energy storage applications such as batteries or supercapacitors (SCs). In this paper, sensors placement for a temperature monitoring and diagnostic system is studied, with respect not only to the state estimation during normal condition but also abnormal overheating detection. The abnormal overheating is modelled as an unknown additional disturbance. Several measures based on the cross Gramian matrix are used as the basis for the optimal sensors placement for the overheating detectability, and the placement selection is evaluated from different overheating simulation scenarios. A naïve sensor placement which intuitively places the sensors in an evenly distributed manner along the string is also included to confirm the usefulness of the cross Gramian measure-based sensors placement.

AB - Model-based temperature estimation has been widely studied and applied in many applications, including for power/energy storage applications such as batteries or supercapacitors (SCs). In this paper, sensors placement for a temperature monitoring and diagnostic system is studied, with respect not only to the state estimation during normal condition but also abnormal overheating detection. The abnormal overheating is modelled as an unknown additional disturbance. Several measures based on the cross Gramian matrix are used as the basis for the optimal sensors placement for the overheating detectability, and the placement selection is evaluated from different overheating simulation scenarios. A naïve sensor placement which intuitively places the sensors in an evenly distributed manner along the string is also included to confirm the usefulness of the cross Gramian measure-based sensors placement.

KW - Controllability

KW - Estimation

KW - Observability

KW - Supercapacitors

KW - Temperature

KW - Thermal sensors

UR - https://www.scopus.com/pages/publications/85002396939

U2 - 10.1109/PESGM.2016.7741824

DO - 10.1109/PESGM.2016.7741824

M3 - Conference contribution

AN - SCOPUS:85002396939

T3 - IEEE Power and Energy Society General Meeting

BT - 2016 IEEE Power and Energy Society General Meeting, PESGM 2016

PB - IEEE Computer Society

T2 - 2016 IEEE Power and Energy Society General Meeting, PESGM 2016

Y2 - 17 July 2016 through 21 July 2016

ER -

Abnormal overheating detectability analysis based on cross Gramian for a supercapacitors string

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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