基于城市干道的纯电动汽车多目标优化  

Multi-objective Optimization of Pure Electric Vehicles Based on Urban Trunk Roads

作　　者：程前 钟颖 胡广雪 蒋工亮[1] 邵毅明[1] CHENG Qian;ZHONG Ying;HU Guang-xue;Jiang Gong-liang;SHAO Yi-ming(College of Transportation,Chongqing Jiaotong University,Chongqing 400074,China;School of Mechanotronlcs & Vehicle Engineering,Chongqing Jiaotong University,Chongqing 400074,China)

机构地区：[1]重庆交通大学交通运输学院,重庆400074 [2]重庆交通大学机电与车辆工程学院,重庆400074

出　　处：《科学技术与工程》2019年第23期276-285,共10页Science Technology and Engineering

基　　金：国家重点研发计划(2016YFB0100905)资助

摘　　要：纯电动汽车技术逐渐成熟,在城市工况中行驶也不断增加。为提高纯电动汽车在城市工况下的运行效率。研究某纯电动汽车在城市双向四车道交叉口场景下四种运行轨迹的安全、节能、舒适多目标问题,建立纯电动汽车安全、节能、和舒适多目标数学模型,并结合Advisor2002中的美国城市驱动工况(CYC_UDDS)仿真验证整车性能参数的影响,利用含有精英策略的NSGA-Ⅱ算法对车速、加速度、总加权加速度均方根值等约束条件下进行优化,得到最优解。结果表明,该多目标函数很好兼顾了纯电动汽车安全、节能、舒适性,提出了纯电动汽车在双向四车道交叉口下的最优运行轨迹和最佳道路宽度,为纯电动汽车检测提供了一种依据。The pure electric vehicle technology is gradually mature,and it is driving more and more in urban working conditions.In order to improve the operating efficiency of pure electric vehicles under ur-ban conditions,four kinds of pure electric vehicles were studied in the urban two-way four-lane int-ersection scene.Safety,energy saving,and comfort multi-target problems of the trajectory,establish a m-ulti-objective mathematical model of safety,energy saving,and comfort for pure electric vehicles,and c-ombine the CYC_UDDS(US urban driving condition)simulation in Advisor2002 to verify the impact of vehicle performance parameters.The optimal solution is obtained by using the NSGA-Ⅱalgorithm with elite strategy to optimize the vehicle speed,acceleration and total weighted acceleration RMS.The results show that the multi-objective function takes into account the safety,energy saving and comfort of pure electric vehicles.The optimal running trajectory and optimal road width of pure electric vehicles under the two-way four-lane intersection are proposed,which provides pure electric vehicle detection.

关 键 词：纯电动汽车 多目标优化 Advisor2002仿真 NSGA-Ⅱ算法 

分 类 号：U469.72[机械工程—车辆工程]