Short Circuit Localization in Automotive Ringstructured Power Nets based on Graph Theory

Sarmed Hussain; Laurenz Tippe; Ahmed Alnaggar; Hans Georg Herzog

doi:10.1109/ECCE50734.2022.9947937

Short Circuit Localization in Automotive Ringstructured Power Nets based on Graph Theory

Sarmed Hussain
, Laurenz Tippe
, Ahmed Alnaggar
, Hans Georg Herzog

Associate Professorship of Energy Conversion Technology

Innovations
Technical University of Munich

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

3 Scopus citations

Abstract

The constantly increasing demands for safety and comfort in modern vehicles require a highly available onboard energy network. Alternative onboard network architectures such as ring networks could play a role in this concern in the future. Thus, new methods are required to cope with the higher complexity of such systems at the same time. This paper addresses the problem of localizing electrical faults in an automotive power net with ring architecture using the example of short circuits. We propose a graph-based approach and introduce a graph-theoretical measure based on the reach-centrality to locate such faults in the system.

Original language	English
Title of host publication	2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728193878
DOIs	https://doi.org/10.1109/ECCE50734.2022.9947937
State	Published - 2022
Event	2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022 - Detroit, United States Duration: 9 Oct 2022 → 13 Oct 2022

Publication series

Name	2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022

Conference

Conference	2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022
Country/Territory	United States
City	Detroit
Period	9/10/22 → 13/10/22

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

48 V vehicle power system
fault localization
graph theory
reach centrality
ring power net
short circuit

Access to Document

10.1109/ECCE50734.2022.9947937

Cite this

Hussain, S., Tippe, L., Alnaggar, A., & Herzog, H. G. (2022). Short Circuit Localization in Automotive Ringstructured Power Nets based on Graph Theory. In 2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022 (2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ECCE50734.2022.9947937

@inproceedings{5e05dd7379a54d93b6c10543bf05b687,

title = "Short Circuit Localization in Automotive Ringstructured Power Nets based on Graph Theory",

abstract = "The constantly increasing demands for safety and comfort in modern vehicles require a highly available onboard energy network. Alternative onboard network architectures such as ring networks could play a role in this concern in the future. Thus, new methods are required to cope with the higher complexity of such systems at the same time. This paper addresses the problem of localizing electrical faults in an automotive power net with ring architecture using the example of short circuits. We propose a graph-based approach and introduce a graph-theoretical measure based on the reach-centrality to locate such faults in the system.",

keywords = "48 V vehicle power system, fault localization, graph theory, reach centrality, ring power net, short circuit",

author = "Sarmed Hussain and Laurenz Tippe and Ahmed Alnaggar and Herzog, \{Hans Georg\}",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022 ; Conference date: 09-10-2022 Through 13-10-2022",

year = "2022",

doi = "10.1109/ECCE50734.2022.9947937",

language = "English",

series = "2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022",

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

booktitle = "2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022",

}

Hussain, S, Tippe, L, Alnaggar, A & Herzog, HG 2022, Short Circuit Localization in Automotive Ringstructured Power Nets based on Graph Theory. in 2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022. 2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022, Institute of Electrical and Electronics Engineers Inc., 2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022, Detroit, United States, 9/10/22. https://doi.org/10.1109/ECCE50734.2022.9947937

Short Circuit Localization in Automotive Ringstructured Power Nets based on Graph Theory. / Hussain, Sarmed; Tippe, Laurenz; Alnaggar, Ahmed et al.
2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022).

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

TY - GEN

T1 - Short Circuit Localization in Automotive Ringstructured Power Nets based on Graph Theory

AU - Hussain, Sarmed

AU - Tippe, Laurenz

AU - Alnaggar, Ahmed

AU - Herzog, Hans Georg

PY - 2022

Y1 - 2022

N2 - The constantly increasing demands for safety and comfort in modern vehicles require a highly available onboard energy network. Alternative onboard network architectures such as ring networks could play a role in this concern in the future. Thus, new methods are required to cope with the higher complexity of such systems at the same time. This paper addresses the problem of localizing electrical faults in an automotive power net with ring architecture using the example of short circuits. We propose a graph-based approach and introduce a graph-theoretical measure based on the reach-centrality to locate such faults in the system.

AB - The constantly increasing demands for safety and comfort in modern vehicles require a highly available onboard energy network. Alternative onboard network architectures such as ring networks could play a role in this concern in the future. Thus, new methods are required to cope with the higher complexity of such systems at the same time. This paper addresses the problem of localizing electrical faults in an automotive power net with ring architecture using the example of short circuits. We propose a graph-based approach and introduce a graph-theoretical measure based on the reach-centrality to locate such faults in the system.

KW - 48 V vehicle power system

KW - fault localization

KW - graph theory

KW - reach centrality

KW - ring power net

KW - short circuit

UR - https://www.scopus.com/pages/publications/85144067245

U2 - 10.1109/ECCE50734.2022.9947937

DO - 10.1109/ECCE50734.2022.9947937

M3 - Conference contribution

AN - SCOPUS:85144067245

T3 - 2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022

BT - 2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022

Y2 - 9 October 2022 through 13 October 2022

ER -

Short Circuit Localization in Automotive Ringstructured Power Nets based on Graph Theory

Abstract

Publication series

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UN SDGs

Keywords

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