TY - GEN
T1 - An Overview of Cloud-Based Electric Vehicle Safety Service Platform Functions and A Case Study
AU - Li, Gaoju
AU - Liu, Peng
AU - Wang, Zhenpo
AU - Zhang, Zhaosheng
AU - Yan, Zhu
AU - Wang, Shuo
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - A cloud-based safety platform for electric vehicles (EVs) could contribute more customized services for users by collaborating with on-board battery management system (BMS). This paper presents a cloud-based EV monitoring and service system, which includes the internet of devices (IoD) and cloud platform. The IoD in this paper includes the EV terminals, charging piles terminals, smartphones, etc., which collect and upload data from EVs and users. With the data collated from the terminals, the cloud platform could perform battery health and safety analysis with historical data, and help to improve the safety of the EVs. This paper discusses the services that the cloud platform can provide in each scenario, and cataloged the potential safety service into several groups. The feasibility of the proposed platform architecture was verified by using cloud data and Entropy algorithm to analyze accident vehicles, and the results show that the cloud-based EV monitoring and safety service platform can provide fault diagnosis and early warning for EV in the cloud.
AB - A cloud-based safety platform for electric vehicles (EVs) could contribute more customized services for users by collaborating with on-board battery management system (BMS). This paper presents a cloud-based EV monitoring and service system, which includes the internet of devices (IoD) and cloud platform. The IoD in this paper includes the EV terminals, charging piles terminals, smartphones, etc., which collect and upload data from EVs and users. With the data collated from the terminals, the cloud platform could perform battery health and safety analysis with historical data, and help to improve the safety of the EVs. This paper discusses the services that the cloud platform can provide in each scenario, and cataloged the potential safety service into several groups. The feasibility of the proposed platform architecture was verified by using cloud data and Entropy algorithm to analyze accident vehicles, and the results show that the cloud-based EV monitoring and safety service platform can provide fault diagnosis and early warning for EV in the cloud.
KW - cloud platform
KW - condition monitoring
KW - electric vehicle
KW - fault diagnosis
UR - http://www.scopus.com/inward/record.url?scp=85133964833&partnerID=8YFLogxK
U2 - 10.1109/ICTIS54573.2021.9798584
DO - 10.1109/ICTIS54573.2021.9798584
M3 - Conference contribution
AN - SCOPUS:85133964833
T3 - 6th International Conference on Transportation Information and Safety: New Infrastructure Construction for Better Transportation, ICTIS 2021
SP - 1476
EP - 1481
BT - 6th International Conference on Transportation Information and Safety
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th International Conference on Transportation Information and Safety, ICTIS 2021
Y2 - 22 October 2021 through 24 October 2021
ER -