基于生态驾驶的智能网联汽车协同跟车模型研究
Research of an Intelligent Connected Vehicle Collaborative Car-Following Model Based on Ecological Driving
惠子文 1郭志龙 1王威民 2赵辉 1王杰1
作者信息
- 1. 兰州石化职业技术大学,甘肃 兰州 730060
- 2. 古浪县直滩初级中学,甘肃 武威 733100
- 折叠
摘要
为提高道路通行能力、减少能源消耗,文章介绍了一种基于智能网联汽车生态驾驶的协同跟车模型.该协同跟车模型由感知层、决策层和控制层3个层级组成,控制策略是将车辆动力学与无线通信技术相结合,在模拟的复杂交通环境中实现感知、控制和获取周围信息,集成了以最小化驾驶间距为模型的预测控制(MPC)策略,以改善交通流的可持续性.生态驾驶控制器的性能是通过车辆自身的速度和加速度2个状态量进行燃油消耗和排放量的评估来实现.最后,验证了控制器的动态特性具体体现在3个方面:跟车行为、燃油效率提高及减少二氧化碳排放,所提出的控制器能够有效地减少跟车过程中的燃油消耗和排放.
Abstract
In order to improve road capacity and reduce energy consumption,this paper introduces a collabora-tive following system based on intelligent connected vehicle ecological driving.The collaborative vehicle following model consists of three levels:perception layer,decision-making layer,and control layer.The control strategy com-bines vehicle dynamics with wireless communication technology to achieve perception,control and obtain surround-ing information in a simulated complex traffic environment.It integrates a predictive control(MPC)strategy based on minimizing driving distance to improve the sustainability of traffic flow.The performance of the ecological driv-ing controller is achieved through the evaluation of fuel consumption and emissions based on two state variables:ve-hicle speed and acceleration.Finally,the dynamic characteristics of the controller are verified,which are embodied in three aspects:car following behavior,fuel efficiency improvement and carbon emission reduce.The proposed con-troller can effectively reduce fuel consumption and emissions during the following process.
关键词
智能网联汽车/生态驾驶控制器/交通环境/燃油消耗/碳排放Key words
intelligent connected vehicles/ecological driving controller/traffic environment/fuel consumption/carbon emission引用本文复制引用
基金项目
省级大学生创新创业训练计划(2022)(S202216209031)
出版年
2024
NETL
NSTL
万方数据