Evaluation on New Energy Vehicle Safety Early Warning System Based on Intelligent Optimization Algorithm
DOI: 10.23977/acss.2024.080614 | Downloads: 41 | Views: 886
Author(s)
Yongan Luo 1, Yeheng He 1, Yangyong Lan 1
Affiliation(s)
1 Changsha Yifeng Automotive Technology Co., Ltd., Changsha, Hunan, China
Corresponding Author
Yongan LuoABSTRACT
With the substantial increase in the inventory of vehicles, New Energy Vehicles (NEV) have received more and more attention. At the same time, the safety of NEV has received attention. When the safety problem of NEV occurs, the communication transmission of safety warning information can be processed at the first time. Communication transmission needs to use communication technology, which is mainly used for information transmission and signal processing. However, the communication speed of the traditional new energy vehicle safety early warning system is slow, and the safety performance needs to be improved. Intelligent optimization algorithms were applied to NEV safety warning systems, and the overall structure of the NEV safety early warning system was analyzed and improved. Through testing different new energy vehicles, it was found that: applying the intelligent optimization algorithm to the safety early warning system of NEV can improve the accuracy of vehicle positioning. The intelligent optimization algorithm can improve the safety performance of NEV, and can effectively improve the communication speed of early warning information of vehicles. Vehicles with improved safety warning systems are more popular with users, and user satisfaction increased by 6.67%. The intelligent optimization algorithm has improved the safety early warning system of NEV, and the communication function of NEV has also been improved.
KEYWORDS
New Energy Vehicle Safety Warning System; Intelligent Optimization Algorithm; Communication Technology; Information TransmissionCITE THIS PAPER
Yongan Luo, Yeheng He, Yangyong Lan, Evaluation on New Energy Vehicle Safety Early Warning System Based on Intelligent Optimization Algorithm. Advances in Computer, Signals and Systems (2024) Vol. 8: 94-105. DOI: http://dx.doi.org/10.23977/acss.2024.080614.
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