Statistical Method for Health Monitoring of Power Supply Paths in Vehicles

Florian Bierwirth, Joachim Froeschl, Juergen Gebert, Hans Georg Herzog

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

This work presents a new approach to monitor system parts of automotive energy systems using statistical analysis. The safety requirements for vehicle energy systems are permanently increasing due to current developments in the field of semi- and highly-autonomous driving. Previous approaches to counteract potential failures with a robust or redundant design are contrasted with the approach of a reliable diagnosis concept. A diagnosis offers the possibility to fulfill the integration requirements defined in ISO 26262 without additional hardware. Degradation processes represent an unsolved challenge to energy paths. Therefore, the subsequent investigation focuses on detecting aging phenomena. By using the proposed approach, potential degradation processes are detected by statistical evaluation of measurements along vehicle energy paths. A simulation environment is used to demonstrate the method's performance and its limitations.

Original languageEnglish
Title of host publicationProceedings of the 2020 International Conference on Diagnostics in Electrical Engineering, Diagnostika 2020
EditorsPavel Trnka
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728158792
DOIs
StatePublished - Sep 2020
Event14th International Conference on Diagnostics in Electrical Engineering, Diagnostika 2020 - Pilsen, Czech Republic
Duration: 1 Sep 20204 Sep 2020

Publication series

NameProceedings of the 2020 International Conference on Diagnostics in Electrical Engineering, Diagnostika 2020

Conference

Conference14th International Conference on Diagnostics in Electrical Engineering, Diagnostika 2020
Country/TerritoryCzech Republic
CityPilsen
Period1/09/204/09/20

Keywords

  • degradations
  • functional safety
  • on-board diagnosis
  • simulation
  • statistics

Fingerprint

Dive into the research topics of 'Statistical Method for Health Monitoring of Power Supply Paths in Vehicles'. Together they form a unique fingerprint.

Cite this