汽车工程 ›› 2022, Vol. 44 ›› Issue (5): 649-655.doi: 10.19562/j.chinasae.qcgc.2022.05.001

所属专题: 智能网联汽车技术专题-规划&控制2022年

• •    下一篇

重型商用车预见性自适应巡航控制策略研究

李兴坤1,郑旭光1,王国晖1,王玉海2,3()   

  1. 1.中寰卫星导航通信有限公司,北京  100094
    2.吉林大学,汽车仿真与控制国家重点实验室,长春  130000
    3.吉林大学青岛汽车研究院,青岛  266000
  • 收稿日期:2021-10-27 修回日期:2021-12-08 出版日期:2022-05-25 发布日期:2022-05-27
  • 通讯作者: 王玉海 E-mail:wangyuhai@jlu.edu.cn
  • 基金资助:
    山东省重大科技创新工程项目(2019JZZY010911)

Research on Control Strategy of Predictive Adaptive Cruise Control of Heavy Duty Commercial Vehicle

Xingkun Li1,Xuguang Zheng1,Guohui Wang1,Yuhai Wang2,3()   

  1. 1.China Satellite Navigation and Communications Co. ,Ltd. ,Beijing  100094
    2.Jilin University,State Key Laboratory of Automotive Simulation and Control,Changchun  130000
    3.Qingdao Automotive Research Institute,Jilin University,Qingdao  266000
  • Received:2021-10-27 Revised:2021-12-08 Online:2022-05-25 Published:2022-05-27
  • Contact: Yuhai Wang E-mail:wangyuhai@jlu.edu.cn

摘要:

为提高商用车巡航系统的经济性与安全性,设计了考虑节油安全驾驶的商用车预见性自适应巡航控制系统(predictive adaptive cruise control system,PACC),基于前方道路坡度规划了预见性巡航经济车速,针对巡航过程中受前车影响产生制动干扰的问题,提出了一种利用前车信息进行优化的预见性自适应巡航控制策略。基于前方道路坡度设计了自适应车间距,规划主车行驶车速,实现了预见性自适应巡航行驶。基于一汽解放JH6重型商用车进行了实车试验,研究结果表明:该算法可以有效降低燃油消耗量并缓解驾驶员驾驶疲劳,为商用车辅助驾驶系统的开发提供了极为重要的理论及实际价值。

关键词: 预见性自适应巡航, 道路坡度, 经济车速, 自适应车间距

Abstract:

In order to improve the economy and safety of commercial vehicle cruise system, a predictive adaptive cruise control system (PACC) is designed considering fuel saving and safe driving, and the economic speed of the predictive cruise is planned based on the road slope ahead. An optimized predictive adaptive cruise control strategy based on the front vehicle information is proposed to solve the problem of braking disturbance caused by the vehicle in front during cruise. Based on the gradient of the road ahead, the adaptive inter-vehicle distance is designed and the driving speed of the main vehicle is planned to realize the predictive adaptive cruising. A real vehicle test is carried out based on FAW JH6 heavy-duty commercial vehicle. The research results show that the algorithm can effectively reduce fuel consumption and driving fatigue, which provides extremely important theoretical and practical value for the development of commercial vehicle driving assistance system.

Key words: predictive adaptive cruise, gradient of the road, economic speed, adaptive inter-vehicle distance