@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",
}