城市道路下混合动力汽车双层能量管理策略

doi:10.3969/j.issn.1004-132X.2022.16.015

摘要/Abstract

摘要： 研究了联网场景下面向连续多路口的混合动力车辆节能速度规划问题，探讨了使用双层伪谱法优化城市交通中混合动力车辆能量管理策略的可行性。根据交通信号灯的时序信息，以保证车辆中途不停车顺利通过各路口为目标，使用伪普法规划最佳的车速轨迹。根据规划的车速，以车辆能耗最低为目标，实现发动机和动力电池间功率输出的经济性分配。仿真结果表明，与人工驾驶相比，所提方法可将燃油消耗量减少6.9%，实车试验结果进一步验证了所提策略的有效性。

关键词: 多路口, 混合动力汽车, 伪谱法, 能量管理

Abstract: The optimal speed planning for connected HEVs under urban traffics with multiple intersections was investigated. The feasibility of using the double-layer pseudo-spectral method to optimize the energy management strategy of HEVs was discussed. Firstly, based on signal phases and timing, the optimal speed was obtained via pseudo-spectral method to ensure that the vehicle might pass through the intersections without stopping. Then, based on the planned speed, the power distribution between engine and battery was arranged with the goal of minimizing vehicle energy consumption. Simulation results show that the proposed method may reduce fuel consumption by 6.9% compared with manual driving, and the effectiveness of the proposed strategy is further verified by real vehicle tests.

Key words: multiple intersection, hybrid electric vehicle(HEV), pseudo-spectral method, energy management

中图分类号:

U461

唐香蕉, 高祖成, 曾令全, 赵奕凡. 城市道路下混合动力汽车双层能量管理策略[J]. 中国机械工程, 2022, 33(16): 2008-2015.

TANG Xiangjiao, GAO Zucheng, ZENG Lingquan, ZHAO Yifan. A Double-layer Energy Management Strategy for HEVs under Urban Traffics[J]. China Mechanical Engineering, 2022, 33(16): 2008-2015.

导出引用管理器 EndNote|Ris|BibTeX

链接本文: http://www.cmemo.org.cn/CN/10.3969/j.issn.1004-132X.2022.16.015

http://www.cmemo.org.cn/CN/Y2022/V33/I16/2008

参考文献

［1］LIN J, YU W, ZHANG N, et al. A Survey on Internet of Things:Architecture, Enabling Technologies, Security and Privacy, and Applications［J］. IEEE Internet of Things Journal, 2017, 4(5):1125-1142.
［2］唐铁桥, 黄海军, 徐刚, 等.考虑信号灯影响的交通流模型与数值模拟［J］. 物理学报, 2008, 57(1):56-60.
TANG Tieqiao, HUANG Haijun, XU Gang, et al. A Traffic Flow Model Considering Signal Light Influence and Its Numerical Simulation［J］. Acta Physica Sinica, 2008, 57(1):56-60.
［3］GUO L, CHEN H, LIU Q, et al. A Computationally Efficient and Hierarchical Control Strategy for Velocity Optimization of On-road Vehicles［J］. IEEE Transactions on Systems, Man, and Cybernetics:Systems, 2019,49(1):1-11.
［4］MANDAVA S, BORIBOONSOMSIN K, BARTH M. Arterial Velocity Planning Based on Traffic Signal Information under Light Traffic Conditions［C］∥12th International IEEE Conference on Intelligent Transportation Systems.St. Louis, 2009:1-6.
［5］ASADI B, VAHIDI A. Predictive Cruise Control:Utilizing Upcoming Traffic Signal Information for Improving Fuel Economy and Reducing Trip Time［J］. IEEE Transactions on Control Systems Technology, 2011, 19(3):707-714.
［6］SUN C, SHEN X, MOURA S. Robust Optimal Eco-driving Control with Uncertain Traffic Signal Timing［C］∥2018 Annual American Control Conference. Milwaukee, 2018:5548-5553.
［7］AMINI M R ,XUN G, FENG Y, et al. Sequential Optimization of Speed, Thermal Load, and Power Split in Connected HEVs［C］∥2019 Annual American Control Conference.Philadelphia,2019:1-7.
［8］周美兰, 张宇, 杨子发,等. 带压缩因子粒子群优化的混合动力汽车模糊能量管理策略［J］. 电机与控制学报, 2011, 15(11):67-72.
ZHOU Meilan, ZHANG Yu, YANG Zifa, et al. Fuzzy Energy Management Strategy of Parallel Hybrid Electric Vehicle Based on Particle Swarm Optimization［J］. Control and Decision, 2011, 15(11):67-72.
［9］徐宁, 楼狄明, 谭丕强,等. 电动公交客车增程器开关控制策略和等效能耗最小化策略优化［J］. 汽车工程, 2018, 40(12):5-12.
XU Ning, LOU Diming, TAN Peiqiang, et al. Optimization of On/Off Control Strategy and ECMS Strategy for the Range-extender of Electric Urban Bus［J］. Automotive Engineering, 2018, 40(12):5-12.
［10］WU Yuankai, TAN Huachun, PENG Jiankun, et al. Deep Reinforcement Learning of Energy Management with Continuous Control Strategy and Traffic Information for a Series-parallel Plug-in Hybrid Electric Bus［J］.Applied Energy, 2019,247:454-466.
［11］OZATAY E, OZGUNER U, FILEV D, et al. Analytical and Numerical Solutions for Energy Minimization of Road Vehicles with the Existence of Multiple Traffic Lights［C］∥52nd IEEE Conference on Decision and Control. Firenze,2013:7137-7142.
［12］BUTAKOV V A , IOANNOU P. Personalized Driver Assistance for Signalized Intersections Using V2I Communication［J］. IEEE Transactions on Intelligent Transportation Systems, 2016,17(7):1910-1919.
［13］WEI Shouyang, ZOU Yuan, SUN Fengchun, et al. A Pseudo-spectral Method for Solving Optimal Control Problem of a Hybrid Tracked Vehicle［J］. Applied Energy, 2017,194:588-595.
［14］KAMAL M A S , MUKAI M , MURATA J , et al. Ecological Vehicle Control on Roads with Up-down Slopes［J］. IEEE Transactions on Intelligent Transportation Systems, 2011, 12(3):783-794.
［15］HUNTINGTON G, BENSON D, RAO A. A Comparison of Accuracy and Computational Efficiency of Three Pseudo-spectral Methods［C］∥AIAA Guidance, Navigation and Control Conference and Exhibit. Hilton Head, 2007:6405.

[1]	严正峰, 蒋光宗, 姚明尧. 驱动系统效率最优的并联混合动力商用车模式切换及换挡控制策略[J]. 中国机械工程, 2024, 35(02): 354-363.
[2]	孙晓军, 宋恩哲, 姚崇. 船用混合动力推进系统能量管理系统关键技术研究现状[J]. 中国机械工程, 2022, 33(04): 469-481,495.
[3]	邱明明, 虞伟, 赵韩, 刘浩, 曹龙凯. 考虑工况和驾驶风格耦合影响的插电式混合动力汽车制动能量回收策略[J]. 中国机械工程, 2022, 33(02): 143-152.
[4]	吕天一, 肖守讷, 朱涛, 张敬科, 王小瑞, 李玉如, 阳光武, 杨冰. 采用多目标进化算法的列车碰撞能量配置方案优化[J]. 中国机械工程, 2021, 32(18): 2262-2267.
[5]	高爱云;张风丽. 增程式混合动力洗扫车能量管理策略研究[J]. 中国机械工程, 2019, 30(19): 2356-2363.
[6]	隗寒冰；任培林. 插电式柴电混合动力汽车规则控制及处理器在环测试[J]. 中国机械工程, 2019, 30(13): 1590-1599.
[7]	章俨1；杨义勇1；李亮2；李卫兵3；吴琼3. 双电机混联构型混动车辆的制动能量回收策略[J]. 中国机械工程, 2019, 30(13): 1631-1637.
[8]	吴进军1;颜丙杰2;方继根1;王西峰1;谢志鹏3;史洋4;李亮2. 插电式混合动力汽车的次优能量管理策略[J]. 中国机械工程, 2019, 30(11): 1336-1342.
[9]	殷国栋, 李广民, 朱侗, 陈建松. [分布式驱动电动汽车动力学控制]四轮驱动电动汽车多Agent能量管理体系研究[J]. 中国机械工程, 2018, 29(15): 1765-1771.
[10]	石琴, 仇多洋, 吴冰, 李一鸣, 刘炳姣. [智能感知]基于粒子群优化支持向量机算法的行驶工况识别及应用[J]. 中国机械工程, 2018, 29(15): 1875-1883.
[11]	钱立军1;荆红娟1;邱利宏1，2. 基于随机模型预测控制的四驱混合动力汽车能量管理[J]. 中国机械工程, 2018, 29(11): 1342-1348.
[12]	邓涛;韩海硕;罗俊林. 基于动态规划算法的混合动力汽车改进型ECMS能量管理控制研究[J]. 中国机械工程, 2018, 29(03): 326-332.
[13]	孙蕾1;林歆悠2;林国发3. 基于工况识别与多元非线性回归优化的能量管理策略[J]. 中国机械工程, 2017, 28(22): 2695-2700.
[14]	王永宽1,2;钱立军1;牛礼民2. 基于免疫算法的四驱插电式混合动力汽车控制策略多目标优化[J]. 中国机械工程, 2017, 28(14): 1683-1690.
[15]	司远, 钱立军, 邱利宏, 李浩. 基于等效油耗最小的四驱混合动力汽车能量管理[J]. 中国机械工程, 2017, 28(09): 1112-1117.