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^*

^*此作品的通讯作者

机械与车辆学院

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

2 引用（Scopus）

摘要

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.

源语言	英语
主期刊名	2022 IEEE International Conference on Artificial Intelligence and Computer Applications, ICAICA 2022
出版商	Institute of Electrical and Electronics Engineers Inc.
页	507-510
页数	4
ISBN（电子版）	9781665499910
DOI	https://doi.org/10.1109/ICAICA54878.2022.9844426
出版状态	已出版 - 2022
活动	2022 IEEE International Conference on Artificial Intelligence and Computer Applications, ICAICA 2022 - Dalian, 中国期限: 24 6月 2022 → 26 6月 2022

出版系列

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

会议

会议	2022 IEEE International Conference on Artificial Intelligence and Computer Applications, ICAICA 2022
国家/地区	中国
市	Dalian
时期	24/06/22 → 26/06/22

访问文件

10.1109/ICAICA54878.2022.9844426

其它文件与链接

链接到 Scopus 的出版物

引用此

Zhang, Z., Liu, P., Zhang, X., & Lin, N. (2022). Research on Safety of New Energy Vehicles based on Big Data. 在 2022 IEEE International Conference on Artificial Intelligence and Computer Applications, ICAICA 2022 (页码 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 等. / 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. 页码 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. 在 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., 页码 507-510, 2022 IEEE International Conference on Artificial Intelligence and Computer Applications, ICAICA 2022, Dalian, 中国, 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 等.
2022 IEEE International Conference on Artificial Intelligence and Computer Applications, ICAICA 2022. Institute of Electrical and Electronics Engineers Inc., 2022. 页码 507-510 (2022 IEEE International Conference on Artificial Intelligence and Computer Applications, ICAICA 2022).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

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

UR - http://www.scopus.com/inward/record.url?scp=85136659555&partnerID=8YFLogxK

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. 在 2022 IEEE International Conference on Artificial Intelligence and Computer Applications, ICAICA 2022. Institute of Electrical and Electronics Engineers Inc. 2022. 页码 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

摘要

出版系列

会议

访问文件

其它文件与链接

指纹

引用此