Failure Mode Mechanism and Effect Analysis of High Voltage DC Arcs in Electric Vehicle Cable

Yibo Liu; Jonathan Swingler; David Flynn

doi:10.1109/ACPEE51499.2021.9437106

Failure Mode Mechanism and Effect Analysis of High Voltage DC Arcs in Electric Vehicle Cable

Yibo Liu, Jonathan Swingler, David Flynn

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

4 Citations (Scopus)

Abstract

With a global increase in electric vehicles (EV) the reliability, quality and performance of EVs is becoming increasingly important. High voltage direct current (HVDC) arc events in cables can lead to fires within EVs. Therefore, in this paper we investigate the failure modes mechanisms and effect analysis (FMMEA) of this safety critical issue. The onset of these failure modes can be multi-factorial so we created a statistical design of experiment to investigate the evolution and mitigation of these failures. Analysis of the arc characteristics collected in laboratory models has been decoupled and classified into time sub-domains. Utilising continuous wavelet transform (CWT) for capturing frequency features and minimizing the influence or erroneous signals. Verification testing was performed using a reference arc model in Simulink for comparative analysis of the experimental and simulated data. Mitigation of arcs via the incorporation of a fuse has been proven to provide sufficient circuit protection. Our results indicate that our methodology provides an accurate framework for cable arc classification and mitigation.

Original language	English
Title of host publication	2021 6th Asia Conference on Power and Electrical Engineering (ACPEE)
Editors	Tek-Tjing Lie, Youbo Liu
Publisher	IEEE
Pages	1316-1321
Number of pages	6
ISBN (Electronic)	9781728191591
DOIs	https://doi.org/10.1109/ACPEE51499.2021.9437106
Publication status	Published - 25 May 2021
Event	6th Asia Conference on Power and Electrical Engineering 2021 - Chongqing, China Duration: 8 Apr 2021 → 11 Apr 2021 https://www.aconf.org/conf_177275.html

Conference

Conference	6th Asia Conference on Power and Electrical Engineering 2021
Abbreviated title	ACPEE 2021
Country/Territory	China
City	Chongqing
Period	8/04/21 → 11/04/21
Internet address	https://www.aconf.org/conf_177275.html

Keywords

Data Analysis
Electric Vehicles
FM-MEA
HVDC
Reliability

ASJC Scopus subject areas

Artificial Intelligence
Management of Technology and Innovation
Computer Science Applications
Energy Engineering and Power Technology
Automotive Engineering
Electrical and Electronic Engineering
Safety, Risk, Reliability and Quality
Control and Optimization

Access to Document

10.1109/ACPEE51499.2021.9437106

Cite this

@inproceedings{f70f7d2831ca430eb31bd7adffbec03a,

title = "Failure Mode Mechanism and Effect Analysis of High Voltage DC Arcs in Electric Vehicle Cable",

abstract = "With a global increase in electric vehicles (EV) the reliability, quality and performance of EVs is becoming increasingly important. High voltage direct current (HVDC) arc events in cables can lead to fires within EVs. Therefore, in this paper we investigate the failure modes mechanisms and effect analysis (FMMEA) of this safety critical issue. The onset of these failure modes can be multi-factorial so we created a statistical design of experiment to investigate the evolution and mitigation of these failures. Analysis of the arc characteristics collected in laboratory models has been decoupled and classified into time sub-domains. Utilising continuous wavelet transform (CWT) for capturing frequency features and minimizing the influence or erroneous signals. Verification testing was performed using a reference arc model in Simulink for comparative analysis of the experimental and simulated data. Mitigation of arcs via the incorporation of a fuse has been proven to provide sufficient circuit protection. Our results indicate that our methodology provides an accurate framework for cable arc classification and mitigation.",

keywords = "Data Analysis, Electric Vehicles, FM-MEA, HVDC, Reliability",

author = "Yibo Liu and Jonathan Swingler and David Flynn",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 6th Asia Conference on Power and Electrical Engineering 2021, ACPEE 2021 ; Conference date: 08-04-2021 Through 11-04-2021",

year = "2021",

month = may,

day = "25",

doi = "10.1109/ACPEE51499.2021.9437106",

language = "English",

pages = "1316--1321",

editor = "Tek-Tjing Lie and Youbo Liu",

booktitle = "2021 6th Asia Conference on Power and Electrical Engineering (ACPEE)",

publisher = "IEEE",

address = "United States",

url = "https://www.aconf.org/conf_177275.html",

}

Liu, Y, Swingler, J & Flynn, D 2021, Failure Mode Mechanism and Effect Analysis of High Voltage DC Arcs in Electric Vehicle Cable. in T-T Lie & Y Liu (eds), 2021 6th Asia Conference on Power and Electrical Engineering (ACPEE). IEEE, pp. 1316-1321, 6th Asia Conference on Power and Electrical Engineering 2021, Chongqing, China, 8/04/21. https://doi.org/10.1109/ACPEE51499.2021.9437106

TY - GEN

T1 - Failure Mode Mechanism and Effect Analysis of High Voltage DC Arcs in Electric Vehicle Cable

AU - Liu, Yibo

AU - Swingler, Jonathan

AU - Flynn, David

PY - 2021/5/25

Y1 - 2021/5/25

N2 - With a global increase in electric vehicles (EV) the reliability, quality and performance of EVs is becoming increasingly important. High voltage direct current (HVDC) arc events in cables can lead to fires within EVs. Therefore, in this paper we investigate the failure modes mechanisms and effect analysis (FMMEA) of this safety critical issue. The onset of these failure modes can be multi-factorial so we created a statistical design of experiment to investigate the evolution and mitigation of these failures. Analysis of the arc characteristics collected in laboratory models has been decoupled and classified into time sub-domains. Utilising continuous wavelet transform (CWT) for capturing frequency features and minimizing the influence or erroneous signals. Verification testing was performed using a reference arc model in Simulink for comparative analysis of the experimental and simulated data. Mitigation of arcs via the incorporation of a fuse has been proven to provide sufficient circuit protection. Our results indicate that our methodology provides an accurate framework for cable arc classification and mitigation.

AB - With a global increase in electric vehicles (EV) the reliability, quality and performance of EVs is becoming increasingly important. High voltage direct current (HVDC) arc events in cables can lead to fires within EVs. Therefore, in this paper we investigate the failure modes mechanisms and effect analysis (FMMEA) of this safety critical issue. The onset of these failure modes can be multi-factorial so we created a statistical design of experiment to investigate the evolution and mitigation of these failures. Analysis of the arc characteristics collected in laboratory models has been decoupled and classified into time sub-domains. Utilising continuous wavelet transform (CWT) for capturing frequency features and minimizing the influence or erroneous signals. Verification testing was performed using a reference arc model in Simulink for comparative analysis of the experimental and simulated data. Mitigation of arcs via the incorporation of a fuse has been proven to provide sufficient circuit protection. Our results indicate that our methodology provides an accurate framework for cable arc classification and mitigation.

KW - Data Analysis

KW - Electric Vehicles

KW - FM-MEA

KW - HVDC

KW - Reliability

UR - http://www.scopus.com/inward/record.url?scp=85107461569&partnerID=8YFLogxK

U2 - 10.1109/ACPEE51499.2021.9437106

DO - 10.1109/ACPEE51499.2021.9437106

M3 - Conference contribution

SP - 1316

EP - 1321

BT - 2021 6th Asia Conference on Power and Electrical Engineering (ACPEE)

A2 - Lie, Tek-Tjing

A2 - Liu, Youbo

PB - IEEE

T2 - 6th Asia Conference on Power and Electrical Engineering 2021

Y2 - 8 April 2021 through 11 April 2021

ER -

Failure Mode Mechanism and Effect Analysis of High Voltage DC Arcs in Electric Vehicle Cable

Abstract

Conference

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this