Statistical Method for Health Monitoring of Power Supply Paths in Vehicles

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

doi:10.1109/Diagnostika49114.2020.9214616

Statistical Method for Health Monitoring of Power Supply Paths in Vehicles

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

Associate Professorship of Energy Conversion Technology

Innovations

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

2 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 language	English
Title of host publication	Proceedings of the 2020 International Conference on Diagnostics in Electrical Engineering, Diagnostika 2020
Editors	Pavel Trnka
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728158792
DOIs	https://doi.org/10.1109/Diagnostika49114.2020.9214616
State	Published - Sep 2020
Event	14th International Conference on Diagnostics in Electrical Engineering, Diagnostika 2020 - Pilsen, Czech Republic Duration: 1 Sep 2020 → 4 Sep 2020

Publication series

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

Conference

Conference	14th International Conference on Diagnostics in Electrical Engineering, Diagnostika 2020
Country/Territory	Czech Republic
City	Pilsen
Period	1/09/20 → 4/09/20

UN SDGs

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

SDG 7 Affordable and Clean Energy
SDG 9 Industry, Innovation, and Infrastructure
SDG 12 Responsible Consumption and Production

Keywords

degradations
functional safety
on-board diagnosis
simulation
statistics

Access to Document

10.1109/Diagnostika49114.2020.9214616

Cite this

Bierwirth, F., Froeschl, J., Gebert, J., & Herzog, H. G. (2020). Statistical Method for Health Monitoring of Power Supply Paths in Vehicles. In P. Trnka (Ed.), Proceedings of the 2020 International Conference on Diagnostics in Electrical Engineering, Diagnostika 2020 Article 9214616 (Proceedings of the 2020 International Conference on Diagnostics in Electrical Engineering, Diagnostika 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/Diagnostika49114.2020.9214616

Bierwirth, Florian ; Froeschl, Joachim ; Gebert, Juergen et al. / Statistical Method for Health Monitoring of Power Supply Paths in Vehicles. Proceedings of the 2020 International Conference on Diagnostics in Electrical Engineering, Diagnostika 2020. editor / Pavel Trnka. Institute of Electrical and Electronics Engineers Inc., 2020. (Proceedings of the 2020 International Conference on Diagnostics in Electrical Engineering, Diagnostika 2020).

@inproceedings{6bfbfff5dca64724abc534511b7a7818,

title = "Statistical Method for Health Monitoring of Power Supply Paths in Vehicles",

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.",

keywords = "degradations, functional safety, on-board diagnosis, simulation, statistics",

author = "Florian Bierwirth and Joachim Froeschl and Juergen Gebert and Herzog, \{Hans Georg\}",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 14th International Conference on Diagnostics in Electrical Engineering, Diagnostika 2020 ; Conference date: 01-09-2020 Through 04-09-2020",

year = "2020",

month = sep,

doi = "10.1109/Diagnostika49114.2020.9214616",

language = "English",

series = "Proceedings of the 2020 International Conference on Diagnostics in Electrical Engineering, Diagnostika 2020",

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

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booktitle = "Proceedings of the 2020 International Conference on Diagnostics in Electrical Engineering, Diagnostika 2020",

}

Bierwirth, F, Froeschl, J, Gebert, J & Herzog, HG 2020, Statistical Method for Health Monitoring of Power Supply Paths in Vehicles. in P Trnka (ed.), Proceedings of the 2020 International Conference on Diagnostics in Electrical Engineering, Diagnostika 2020., 9214616, Proceedings of the 2020 International Conference on Diagnostics in Electrical Engineering, Diagnostika 2020, Institute of Electrical and Electronics Engineers Inc., 14th International Conference on Diagnostics in Electrical Engineering, Diagnostika 2020, Pilsen, Czech Republic, 1/09/20. https://doi.org/10.1109/Diagnostika49114.2020.9214616

Statistical Method for Health Monitoring of Power Supply Paths in Vehicles. / Bierwirth, Florian; Froeschl, Joachim; Gebert, Juergen et al.
Proceedings of the 2020 International Conference on Diagnostics in Electrical Engineering, Diagnostika 2020. ed. / Pavel Trnka. Institute of Electrical and Electronics Engineers Inc., 2020. 9214616 (Proceedings of the 2020 International Conference on Diagnostics in Electrical Engineering, Diagnostika 2020).

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

TY - GEN

T1 - Statistical Method for Health Monitoring of Power Supply Paths in Vehicles

AU - Bierwirth, Florian

AU - Froeschl, Joachim

AU - Gebert, Juergen

AU - Herzog, Hans Georg

PY - 2020/9

Y1 - 2020/9

N2 - 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.

AB - 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.

KW - degradations

KW - functional safety

KW - on-board diagnosis

KW - simulation

KW - statistics

UR - https://www.scopus.com/pages/publications/85094823622

U2 - 10.1109/Diagnostika49114.2020.9214616

DO - 10.1109/Diagnostika49114.2020.9214616

M3 - Conference contribution

AN - SCOPUS:85094823622

T3 - Proceedings of the 2020 International Conference on Diagnostics in Electrical Engineering, Diagnostika 2020

BT - Proceedings of the 2020 International Conference on Diagnostics in Electrical Engineering, Diagnostika 2020

A2 - Trnka, Pavel

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 14th International Conference on Diagnostics in Electrical Engineering, Diagnostika 2020

Y2 - 1 September 2020 through 4 September 2020

ER -

Bierwirth F, Froeschl J, Gebert J, Herzog HG. Statistical Method for Health Monitoring of Power Supply Paths in Vehicles. In Trnka P, editor, Proceedings of the 2020 International Conference on Diagnostics in Electrical Engineering, Diagnostika 2020. Institute of Electrical and Electronics Engineers Inc. 2020. 9214616. (Proceedings of the 2020 International Conference on Diagnostics in Electrical Engineering, Diagnostika 2020). doi: 10.1109/Diagnostika49114.2020.9214616

Statistical Method for Health Monitoring of Power Supply Paths in Vehicles

Abstract

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Conference

UN SDGs

Keywords

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