基于城市干道十字路口场景的纯电动汽车两目标优化研究  

Study on Dual-objective optimization of Pure Electric Vehicles based on Urban Arterial Crossroad Scenes

作　　者：褚观耀 程前 邵毅明[2] 蒋工亮[2] CHU Guanyao;CHENG Qian;SHAO Yiming;JIANG Gongliang(China Automotive Engineering Research Institute,Chongqing 401122,China;School of Traffic&Transportation,Chongqing Jiaotong University,Chongqing 400074,China)

机构地区：[1]中国汽车工程研究院,重庆401122 [2]重庆交通大学交通运输学院,重庆400074

出　　处：《汽车工程学报》2020年第2期88-97,共10页Chinese Journal of Automotive Engineering

基　　金：国家重点研发计划(2016YFB0100905)。

摘　　要：以某款纯电动汽车在城市双向四车道十字路口场景下运行的安全性和经济性为目标函数,进行了4种运行轨迹分析,采用NSGA-Ⅱ算法对车速和加速度进行优化求解,提出一种基于NSGA-Ⅱ算法的模糊控制策略,并制定相关的隶属度函数和模糊规则,验证了纯电动汽车双目标优化模型的准确性和可行性。结果表明,该目标函数很好地兼顾了纯电动汽车的安全性和经济性等问题,得到了纯电动汽车在双向四车道十字路口下的最优运行轨迹和最佳道路宽度,提高了纯电动汽车通过城市干道十字路口的安全性和经济性。Taking a pure electric vehicle as an example,based on the economic and safety objective functions at the scene of urban four-lane intersection,the paper performed four types of trajectory analysis to find the optimal solution by using the NSGA-Ⅱ algorithm under the constraints of vehicle speed and acceleration.Finally,a fuzzy control strategy based on the NSGA-Ⅱ algorithm was proposed and the appropriate membership functions and fuzzy rules were formulated to verify the accuracy and feasibility of the bi-objective optimization model.The results show that the obtained optimal trajectory and the optimal road width at the four-lane intersection can help improve the EV safety and economic performance when passing the urban arterial intersection.

关 键 词：十字路口 纯电动汽车 NSGA-Ⅱ算法 模糊控制器 

分 类 号：U469.72[机械工程—车辆工程]