Approach for Predictive Diagnosis of Highly Available Automotive Energy Systems

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

doi:10.1109/EVER48776.2020.9242945

Approach for Predictive Diagnosis of Highly Available Automotive Energy Systems

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

Professur für Energiewandlungstechnik

Innovations

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

1 Zitat (Scopus)

Abstract

The safety and security requirements for electrical connection systems continue to rise in the context of semi-and highly-Automated driving. In order to counteract occurring faults and to guarantee a reliable power supply, currently, two different approaches are distinguished: The implementation of redundancies and the selection of robust components. This paper presents an alternative approach to evaluate a vehicle energy path's "state of health"and to predict the remaining useful life. With the presented procedure, the entire system's availability can be increased by health monitoring of unmonitored supply paths and thus provides an alternative to the currently discussed cost-intensive security concepts.

Originalsprache	Englisch
Titel	2020 15th International Conference on Ecological Vehicles and Renewable Energies, EVER 2020
Herausgeber (Verlag)	Institute of Electrical and Electronics Engineers Inc.
ISBN (elektronisch)	9781728156415
DOIs	https://doi.org/10.1109/EVER48776.2020.9242945
Publikationsstatus	Veröffentlicht - 10 Sept. 2020
Veranstaltung	15th International Conference on Ecological Vehicles and Renewable Energies, EVER 2020 - Monte-Carlo, Monaco Dauer: 10 Sept. 2020 → 12 Sept. 2020

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Name	2020 15th International Conference on Ecological Vehicles and Renewable Energies, EVER 2020

Konferenz

Konferenz	15th International Conference on Ecological Vehicles and Renewable Energies, EVER 2020
Land/Gebiet	Monaco
Ort	Monte-Carlo
Zeitraum	10/09/20 → 12/09/20

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10.1109/EVER48776.2020.9242945

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Bierwirth, F., Froeschl, J., Gebert, J., & Herzog, H. G. (2020). Approach for Predictive Diagnosis of Highly Available Automotive Energy Systems. in 2020 15th International Conference on Ecological Vehicles and Renewable Energies, EVER 2020 Artikel 9242945 (2020 15th International Conference on Ecological Vehicles and Renewable Energies, EVER 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EVER48776.2020.9242945

Bierwirth, Florian ; Froeschl, Joachim ; Gebert, Juergen et al. / Approach for Predictive Diagnosis of Highly Available Automotive Energy Systems. 2020 15th International Conference on Ecological Vehicles and Renewable Energies, EVER 2020. Institute of Electrical and Electronics Engineers Inc., 2020. (2020 15th International Conference on Ecological Vehicles and Renewable Energies, EVER 2020).

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title = "Approach for Predictive Diagnosis of Highly Available Automotive Energy Systems",

abstract = "The safety and security requirements for electrical connection systems continue to rise in the context of semi-and highly-Automated driving. In order to counteract occurring faults and to guarantee a reliable power supply, currently, two different approaches are distinguished: The implementation of redundancies and the selection of robust components. This paper presents an alternative approach to evaluate a vehicle energy path's {"}state of health{"}and to predict the remaining useful life. With the presented procedure, the entire system's availability can be increased by health monitoring of unmonitored supply paths and thus provides an alternative to the currently discussed cost-intensive security concepts.",

keywords = "degradation, diagnosis, energy system, fault detection, functional safety, high availability, prediction",

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

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 15th International Conference on Ecological Vehicles and Renewable Energies, EVER 2020 ; Conference date: 10-09-2020 Through 12-09-2020",

year = "2020",

month = sep,

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doi = "10.1109/EVER48776.2020.9242945",

language = "English",

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Bierwirth, F, Froeschl, J, Gebert, J & Herzog, HG 2020, Approach for Predictive Diagnosis of Highly Available Automotive Energy Systems. in 2020 15th International Conference on Ecological Vehicles and Renewable Energies, EVER 2020., 9242945, 2020 15th International Conference on Ecological Vehicles and Renewable Energies, EVER 2020, Institute of Electrical and Electronics Engineers Inc., 15th International Conference on Ecological Vehicles and Renewable Energies, EVER 2020, Monte-Carlo, Monaco, 10/09/20. https://doi.org/10.1109/EVER48776.2020.9242945

Approach for Predictive Diagnosis of Highly Available Automotive Energy Systems. / Bierwirth, Florian; Froeschl, Joachim; Gebert, Juergen et al.
2020 15th International Conference on Ecological Vehicles and Renewable Energies, EVER 2020. Institute of Electrical and Electronics Engineers Inc., 2020. 9242945 (2020 15th International Conference on Ecological Vehicles and Renewable Energies, EVER 2020).

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

TY - GEN

T1 - Approach for Predictive Diagnosis of Highly Available Automotive Energy Systems

AU - Bierwirth, Florian

AU - Froeschl, Joachim

AU - Gebert, Juergen

AU - Herzog, Hans Georg

PY - 2020/9/10

Y1 - 2020/9/10

N2 - The safety and security requirements for electrical connection systems continue to rise in the context of semi-and highly-Automated driving. In order to counteract occurring faults and to guarantee a reliable power supply, currently, two different approaches are distinguished: The implementation of redundancies and the selection of robust components. This paper presents an alternative approach to evaluate a vehicle energy path's "state of health"and to predict the remaining useful life. With the presented procedure, the entire system's availability can be increased by health monitoring of unmonitored supply paths and thus provides an alternative to the currently discussed cost-intensive security concepts.

AB - The safety and security requirements for electrical connection systems continue to rise in the context of semi-and highly-Automated driving. In order to counteract occurring faults and to guarantee a reliable power supply, currently, two different approaches are distinguished: The implementation of redundancies and the selection of robust components. This paper presents an alternative approach to evaluate a vehicle energy path's "state of health"and to predict the remaining useful life. With the presented procedure, the entire system's availability can be increased by health monitoring of unmonitored supply paths and thus provides an alternative to the currently discussed cost-intensive security concepts.

KW - degradation

KW - diagnosis

KW - energy system

KW - fault detection

KW - functional safety

KW - high availability

KW - prediction

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U2 - 10.1109/EVER48776.2020.9242945

DO - 10.1109/EVER48776.2020.9242945

M3 - Conference contribution

AN - SCOPUS:85096674371

T3 - 2020 15th International Conference on Ecological Vehicles and Renewable Energies, EVER 2020

BT - 2020 15th International Conference on Ecological Vehicles and Renewable Energies, EVER 2020

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 15th International Conference on Ecological Vehicles and Renewable Energies, EVER 2020

Y2 - 10 September 2020 through 12 September 2020

ER -

Bierwirth F, Froeschl J, Gebert J, Herzog HG. Approach for Predictive Diagnosis of Highly Available Automotive Energy Systems. in 2020 15th International Conference on Ecological Vehicles and Renewable Energies, EVER 2020. Institute of Electrical and Electronics Engineers Inc. 2020. 9242945. (2020 15th International Conference on Ecological Vehicles and Renewable Energies, EVER 2020). doi: 10.1109/EVER48776.2020.9242945

Approach for Predictive Diagnosis of Highly Available Automotive Energy Systems

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