System analysis of vehicle low-voltage energy paths as initial step for a predictive diagnosis

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

doi:10.1109/EVER48776.2020.9243135

System analysis of vehicle low-voltage energy paths as initial step for a predictive diagnosis

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

3 Scopus citations

Abstract

As defined in ISO 26262, a diagnosis offers a cost-effective way to increase vehicle energy systems' safety requirements. So far, alternative hardware and thus cost-intensive security concepts have been applied. In this paper, a new approach is presented to evaluate and methodically compare the components of vehicles' low-voltage energy paths in terms of a sensitivity analysis. With the proposed method, these components can be evaluated, on the one hand, regarding their susceptibility to degradations, and on the other, the installation area-specific influences and effects. From the derived effect structure and effect matrix, the required target variable, and a path's most vulnerable component can be identified. These steps are a prerequisite for assessing a path's "state of health"and for predicting the remaining useful life.

Original language	English
Title of host publication	2020 15th International Conference on Ecological Vehicles and Renewable Energies, EVER 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728156415
DOIs	https://doi.org/10.1109/EVER48776.2020.9243135
State	Published - 10 Sep 2020
Event	15th International Conference on Ecological Vehicles and Renewable Energies, EVER 2020 - Monte-Carlo, Monaco Duration: 10 Sep 2020 → 12 Sep 2020

Publication series

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

Conference

Conference	15th International Conference on Ecological Vehicles and Renewable Energies, EVER 2020
Country/Territory	Monaco
City	Monte-Carlo
Period	10/09/20 → 12/09/20

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

degradations
diagnosis
energy system
prediction
sensitivity analysis

Access to Document

10.1109/EVER48776.2020.9243135

Cite this

Bierwirth, F., Froeschl, J., Gebert, J., & Herzog, H. G. (2020). System analysis of vehicle low-voltage energy paths as initial step for a predictive diagnosis. In 2020 15th International Conference on Ecological Vehicles and Renewable Energies, EVER 2020 Article 9243135 (2020 15th International Conference on Ecological Vehicles and Renewable Energies, EVER 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EVER48776.2020.9243135

Bierwirth, Florian ; Froeschl, Joachim ; Gebert, Juergen et al. / System analysis of vehicle low-voltage energy paths as initial step for a predictive diagnosis. 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).

@inproceedings{e8d6ae6661b742cd97eba7cf2dc64840,

title = "System analysis of vehicle low-voltage energy paths as initial step for a predictive diagnosis",

abstract = "As defined in ISO 26262, a diagnosis offers a cost-effective way to increase vehicle energy systems' safety requirements. So far, alternative hardware and thus cost-intensive security concepts have been applied. In this paper, a new approach is presented to evaluate and methodically compare the components of vehicles' low-voltage energy paths in terms of a sensitivity analysis. With the proposed method, these components can be evaluated, on the one hand, regarding their susceptibility to degradations, and on the other, the installation area-specific influences and effects. From the derived effect structure and effect matrix, the required target variable, and a path's most vulnerable component can be identified. These steps are a prerequisite for assessing a path's {"}state of health{"}and for predicting the remaining useful life.",

keywords = "degradations, diagnosis, energy system, prediction, sensitivity analysis",

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,

day = "10",

doi = "10.1109/EVER48776.2020.9243135",

language = "English",

series = "2020 15th International Conference on Ecological Vehicles and Renewable Energies, EVER 2020",

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}

Bierwirth, F, Froeschl, J, Gebert, J & Herzog, HG 2020, System analysis of vehicle low-voltage energy paths as initial step for a predictive diagnosis. in 2020 15th International Conference on Ecological Vehicles and Renewable Energies, EVER 2020., 9243135, 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/EVER48776.2020.9243135

System analysis of vehicle low-voltage energy paths as initial step for a predictive diagnosis. / 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. 9243135 (2020 15th International Conference on Ecological Vehicles and Renewable Energies, EVER 2020).

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

TY - GEN

T1 - System analysis of vehicle low-voltage energy paths as initial step for a predictive diagnosis

AU - Bierwirth, Florian

AU - Froeschl, Joachim

AU - Gebert, Juergen

AU - Herzog, Hans Georg

PY - 2020/9/10

Y1 - 2020/9/10

N2 - As defined in ISO 26262, a diagnosis offers a cost-effective way to increase vehicle energy systems' safety requirements. So far, alternative hardware and thus cost-intensive security concepts have been applied. In this paper, a new approach is presented to evaluate and methodically compare the components of vehicles' low-voltage energy paths in terms of a sensitivity analysis. With the proposed method, these components can be evaluated, on the one hand, regarding their susceptibility to degradations, and on the other, the installation area-specific influences and effects. From the derived effect structure and effect matrix, the required target variable, and a path's most vulnerable component can be identified. These steps are a prerequisite for assessing a path's "state of health"and for predicting the remaining useful life.

AB - As defined in ISO 26262, a diagnosis offers a cost-effective way to increase vehicle energy systems' safety requirements. So far, alternative hardware and thus cost-intensive security concepts have been applied. In this paper, a new approach is presented to evaluate and methodically compare the components of vehicles' low-voltage energy paths in terms of a sensitivity analysis. With the proposed method, these components can be evaluated, on the one hand, regarding their susceptibility to degradations, and on the other, the installation area-specific influences and effects. From the derived effect structure and effect matrix, the required target variable, and a path's most vulnerable component can be identified. These steps are a prerequisite for assessing a path's "state of health"and for predicting the remaining useful life.

KW - degradations

KW - diagnosis

KW - energy system

KW - prediction

KW - sensitivity analysis

UR - https://www.scopus.com/pages/publications/85094852059

U2 - 10.1109/EVER48776.2020.9243135

DO - 10.1109/EVER48776.2020.9243135

M3 - Conference contribution

AN - SCOPUS:85094852059

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. System analysis of vehicle low-voltage energy paths as initial step for a predictive diagnosis. In 2020 15th International Conference on Ecological Vehicles and Renewable Energies, EVER 2020. Institute of Electrical and Electronics Engineers Inc. 2020. 9243135. (2020 15th International Conference on Ecological Vehicles and Renewable Energies, EVER 2020). doi: 10.1109/EVER48776.2020.9243135

System analysis of vehicle low-voltage energy paths as initial step for a predictive diagnosis

Abstract

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UN SDGs

Keywords

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