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作 者:李晓晨 陈杰炜 李波[1] 谭草 葛文庆[1] LI Xiaochen;CHEN Jiewei;LI Bo;TAN Cao;GE Wenqing(School of Transportation and Vehicle Engineering,Shandong University of Technology,Zibo 255049,China)
机构地区:[1]山东理工大学交通与车辆工程学院,山东淄博255049
出 处:《山东理工大学学报(自然科学版)》2025年第4期1-8,共8页Journal of Shandong University of Technology:Natural Science Edition
基 金:国家自然科学基金项目(52375105,52305625);山东省优秀青年人才基金项目(ZR2022YQ51)。
摘 要:为提高电动汽车的续驶里程,实现节能高效通行,基于道路信息建立了道路坡度模型和信号灯模型,推导出多信号灯路口绿波通行车速区间,以能耗最优、时间最优及能耗-时间最优三种驾驶目的下的绿波车速为优化目标,基于动态规划算法优化不同驾驶目的下的绿波车速轨迹。结果表明:能耗最优时,车速优化轨迹的平均车速较低,部分路段受到坡度影响,车速在绿波车速下限波动;时间最优时,车辆以最大或最小加速度调整至绿波车速上限后保持匀速行驶;能耗-时间最优时,随着能耗权重的减小,车速优化轨迹的整体车速增大,车速波动范围减小。In order to improve the driving range of electric vehicles and realize energy-saving and efficient traffic,a road gradient model and a signal light model are established based on road information,and the green wave speed interval is derived for multi-signal intersections,focusing on the energy-optimal,time-optimal,and energy-time-optimal driving objectives,and the green wave speed trajectories under different driving purposes are optimized based on dynamic planning algorithms.The results show that when energy consumption is optimal,the average speed of the optimized trajectory is relatively low,and the speed fluctuates at the lower limit of the green wave speed in some sections due to the influence of gradient.When time is optimal,the vehicle adjusts to the upper limit of the green wave speed with the maximum or minimum acceleration to keep the constant driving speed,and when energy consumption is time-optimal,with the reduction of the weight of the energy consumption,the overall speed of the optimizd trajectory is increased,and the fluctuation range of the vehicle speed is reduced.
关 键 词:电动汽车 道路坡度 信号灯模型 动态规划 绿波车速
分 类 号:U461.8[机械工程—车辆工程] U471.23[交通运输工程—载运工具运用工程]
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