Design and Implementation of Vehicle Collaborative Control System under Intelligent Connected Environment for New Energy Vehicles

This paper systematically tests and analyzes the vehicle-road collaborative autonomous driving system. A complete test environment, including on-board equipment, roadside units, and communication networks, was built in a professional closed test field to carry out comprehensive functional performance evaluation. Typical scenario tests, such as vehicle collaborative platooning, communication handover, and obstacle avoidance, were conducted to verify the system’s functionality and reliability. Continuous testing was performed on key performance indicators such as real-time performance, stability, and resource utilization, with comparative analysis against existing mainstream systems. The test results show that the system has significant advantages in communication performance, control accuracy, and system latency, meeting the expected design goals and satisfying practical application requirements.

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Publication Details

Published
2024-12-20
DOI
https://doi.org/10.1109/itcem65710.2024.00013
Primary Topic
Electric Vehicles and Infrastructure
Type
article
Field-Weighted Citation Impact
0.00
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article

Design and Implementation of Vehicle Collaborative Control System under Intelligent Connected Environment for New Energy Vehicles

Chengcheng Jiang, Qingxia Nan, Xia Wang
Electric Vehicles and Infrastructure
article

Design and Implementation of Vehicle Collaborative Control System under Intelligent Connected Environment for New Energy Vehicles

Chengcheng Jiang, Qingxia Nan, Xia Wang
article en

Abstract

This paper systematically tests and analyzes the vehicle-road collaborative autonomous driving system. A complete test environment, including on-board equipment, roadside units, and communication networks, was built in a professional closed test field to carry out comprehensive functional performance evaluation. Typical scenario tests, such as vehicle collaborative platooning, communication handover, and obstacle avoidance, were conducted to verify the system’s functionality and reliability. Continuous testing was performed on key performance indicators such as real-time performance, stability, and resource utilization, with comparative analysis against existing mainstream systems. The test results show that the system has significant advantages in communication performance, control accuracy, and system latency, meeting the expected design goals and satisfying practical application requirements.

Shandong University of Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 73%
Electric Vehicles and Infrastructure
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