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基于生态驾驶的智能网联汽车协同跟车模型研究

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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。
Research of an Intelligent Connected Vehicle Collaborative Car-Following Model Based on Ecological Driving
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.

intelligent connected vehiclesecological driving controllertraffic environmentfuel consumptioncarbon emission

惠子文、郭志龙、王威民、赵辉、王杰

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兰州石化职业技术大学,甘肃 兰州 730060

古浪县直滩初级中学,甘肃 武威 733100

智能网联汽车 生态驾驶控制器 交通环境 燃油消耗 碳排放

省级大学生创新创业训练计划(2022)

S202216209031

2024

甘肃科技纵横
甘肃省科技情报学会

甘肃科技纵横

影响因子:0.337
ISSN:1672-6375
年,卷(期):2024.53(3)
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