Research on Safety of New Energy Vehicles based on Big Data

Zekun Zhang; Peng Liu; Xiang Zhang; Ni Lin

doi:10.1109/ICAICA54878.2022.9844426

Research on Safety of New Energy Vehicles based on Big Data

Zekun Zhang, Peng Liu, Xiang Zhang, Ni Lin^*

^*Corresponding author for this work

School of Mechanical Engineering

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

2 Citations (Scopus)

Abstract

New energy vehicles (NEVs) have become the main direction of the development of the global automobile industry, where the number of NEVs worldwide keeps growing rapidly. Meanwhile, the number of accidents related to batteries, electric motors and controllers, such as loss of power, fire and explosion also increases, making safety a critical research topic in the NEV industry. On this basis, on top of design defects, usage behavior and environmental factors, we illustrate how big data and related technologies can be applied in fault diagnosis on NEVs. In this way, the proposed method has been verified by real-world operation data, where some failures can be detected in advance to avoid accidents.

Original language	English
Title of host publication	2022 IEEE International Conference on Artificial Intelligence and Computer Applications, ICAICA 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	507-510
Number of pages	4
ISBN (Electronic)	9781665499910
DOIs	https://doi.org/10.1109/ICAICA54878.2022.9844426
Publication status	Published - 2022
Event	2022 IEEE International Conference on Artificial Intelligence and Computer Applications, ICAICA 2022 - Dalian, China Duration: 24 Jun 2022 → 26 Jun 2022

Publication series

Name	2022 IEEE International Conference on Artificial Intelligence and Computer Applications, ICAICA 2022

Conference

Conference	2022 IEEE International Conference on Artificial Intelligence and Computer Applications, ICAICA 2022
Country/Territory	China
City	Dalian
Period	24/06/22 → 26/06/22

Keywords

battery
big data
fault diagnosis
motor
safety
vehicles

Access to Document

10.1109/ICAICA54878.2022.9844426

Cite this

Zhang, Z., Liu, P., Zhang, X., & Lin, N. (2022). Research on Safety of New Energy Vehicles based on Big Data. In 2022 IEEE International Conference on Artificial Intelligence and Computer Applications, ICAICA 2022 (pp. 507-510). (2022 IEEE International Conference on Artificial Intelligence and Computer Applications, ICAICA 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICAICA54878.2022.9844426

Zhang, Zekun ; Liu, Peng ; Zhang, Xiang et al. / Research on Safety of New Energy Vehicles based on Big Data. 2022 IEEE International Conference on Artificial Intelligence and Computer Applications, ICAICA 2022. Institute of Electrical and Electronics Engineers Inc., 2022. pp. 507-510 (2022 IEEE International Conference on Artificial Intelligence and Computer Applications, ICAICA 2022).

@inproceedings{a5f7085cce1644d8a39cf90d990b78eb,

title = "Research on Safety of New Energy Vehicles based on Big Data",

abstract = "New energy vehicles (NEVs) have become the main direction of the development of the global automobile industry, where the number of NEVs worldwide keeps growing rapidly. Meanwhile, the number of accidents related to batteries, electric motors and controllers, such as loss of power, fire and explosion also increases, making safety a critical research topic in the NEV industry. On this basis, on top of design defects, usage behavior and environmental factors, we illustrate how big data and related technologies can be applied in fault diagnosis on NEVs. In this way, the proposed method has been verified by real-world operation data, where some failures can be detected in advance to avoid accidents.",

keywords = "battery, big data, fault diagnosis, motor, safety, vehicles",

author = "Zekun Zhang and Peng Liu and Xiang Zhang and Ni Lin",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE International Conference on Artificial Intelligence and Computer Applications, ICAICA 2022 ; Conference date: 24-06-2022 Through 26-06-2022",

year = "2022",

doi = "10.1109/ICAICA54878.2022.9844426",

language = "English",

series = "2022 IEEE International Conference on Artificial Intelligence and Computer Applications, ICAICA 2022",

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

pages = "507--510",

booktitle = "2022 IEEE International Conference on Artificial Intelligence and Computer Applications, ICAICA 2022",

address = "United States",

}

Zhang, Z, Liu, P, Zhang, X & Lin, N 2022, Research on Safety of New Energy Vehicles based on Big Data. in 2022 IEEE International Conference on Artificial Intelligence and Computer Applications, ICAICA 2022. 2022 IEEE International Conference on Artificial Intelligence and Computer Applications, ICAICA 2022, Institute of Electrical and Electronics Engineers Inc., pp. 507-510, 2022 IEEE International Conference on Artificial Intelligence and Computer Applications, ICAICA 2022, Dalian, China, 24/06/22. https://doi.org/10.1109/ICAICA54878.2022.9844426

Research on Safety of New Energy Vehicles based on Big Data. / Zhang, Zekun; Liu, Peng; Zhang, Xiang et al.
2022 IEEE International Conference on Artificial Intelligence and Computer Applications, ICAICA 2022. Institute of Electrical and Electronics Engineers Inc., 2022. p. 507-510 (2022 IEEE International Conference on Artificial Intelligence and Computer Applications, ICAICA 2022).

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

TY - GEN

T1 - Research on Safety of New Energy Vehicles based on Big Data

AU - Zhang, Zekun

AU - Liu, Peng

AU - Zhang, Xiang

AU - Lin, Ni

PY - 2022

Y1 - 2022

N2 - New energy vehicles (NEVs) have become the main direction of the development of the global automobile industry, where the number of NEVs worldwide keeps growing rapidly. Meanwhile, the number of accidents related to batteries, electric motors and controllers, such as loss of power, fire and explosion also increases, making safety a critical research topic in the NEV industry. On this basis, on top of design defects, usage behavior and environmental factors, we illustrate how big data and related technologies can be applied in fault diagnosis on NEVs. In this way, the proposed method has been verified by real-world operation data, where some failures can be detected in advance to avoid accidents.

AB - New energy vehicles (NEVs) have become the main direction of the development of the global automobile industry, where the number of NEVs worldwide keeps growing rapidly. Meanwhile, the number of accidents related to batteries, electric motors and controllers, such as loss of power, fire and explosion also increases, making safety a critical research topic in the NEV industry. On this basis, on top of design defects, usage behavior and environmental factors, we illustrate how big data and related technologies can be applied in fault diagnosis on NEVs. In this way, the proposed method has been verified by real-world operation data, where some failures can be detected in advance to avoid accidents.

KW - battery

KW - big data

KW - fault diagnosis

KW - motor

KW - safety

KW - vehicles

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U2 - 10.1109/ICAICA54878.2022.9844426

DO - 10.1109/ICAICA54878.2022.9844426

M3 - Conference contribution

AN - SCOPUS:85136659555

T3 - 2022 IEEE International Conference on Artificial Intelligence and Computer Applications, ICAICA 2022

SP - 507

EP - 510

BT - 2022 IEEE International Conference on Artificial Intelligence and Computer Applications, ICAICA 2022

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2022 IEEE International Conference on Artificial Intelligence and Computer Applications, ICAICA 2022

Y2 - 24 June 2022 through 26 June 2022

ER -

Zhang Z, Liu P, Zhang X, Lin N. Research on Safety of New Energy Vehicles based on Big Data. In 2022 IEEE International Conference on Artificial Intelligence and Computer Applications, ICAICA 2022. Institute of Electrical and Electronics Engineers Inc. 2022. p. 507-510. (2022 IEEE International Conference on Artificial Intelligence and Computer Applications, ICAICA 2022). doi: 10.1109/ICAICA54878.2022.9844426

Research on Safety of New Energy Vehicles based on Big Data

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