基于ADAS地图的载货车预见巡航实时优化算法*

doi:10.19562/j.chinasae.qcgc.2020.10.006

汽车工程 ›› 2020, Vol. 42 ›› Issue (10): 1335-1339.doi: 10.19562/j.chinasae.qcgc.2020.10.006

基于ADAS地图的载货车预见巡航实时优化算法^*

王玉海^1,2, 李兴坤³, 张鹏雷³, 郑旭光^2,3

1.吉林大学,汽车仿真与控制国家重点实验室,长春 130000;
2.吉林大学青岛汽车研究院,青岛 266000;
3.中寰卫星导航通信有限公司,北京 100094

收稿日期:2020-07-24 修回日期:2020-09-01 出版日期:2020-10-25 发布日期:2020-10-26
通讯作者: 王玉海,教授,工学博士,E-mail:wangyuhai@jlu.edu.cn。
基金资助:
* 山东省重大科技创新工程项目(2019JZZY010911)资助。

Real-time Optimization Algorithm for Truck Predictive Cruise Based on ADAS Map

Wang Yuhai^1,2, Li Xingkun³, Zhang Penglei³, Zheng Xuguang^2,3

1. Jilin University,State Key Laboratory of Automotive Simulation and Control, Changchun 130000;
2. Qingdao Automotive Research Institute, Jilin University, Qingdao 266000;
3. China Satellite Navigation and Communications Co., Ltd., Beijing 100094

Received:2020-07-24 Revised:2020-09-01 Online:2020-10-25 Published:2020-10-26

摘要/Abstract

摘要： 基于ADAS地图,结合预见性节油驾驶先验知识,采用车辆纵向动力学重构车辆行驶前方路网,提出了一种商用车预见性巡航控制动态规划优化算法,解决了动态规划算法在长距离多约束下的算法臃肿、无法满足车载嵌入式系统实时计算等实用化问题。实车试验验证结果表明,在同路线、同工况和同驾驶员的驾驶条件下,预见性巡航控制比一般驾驶员驾驶节油3%~6%。

关键词: ADAS地图, 预见性巡航控制, 动态规划, 优化算法

Abstract: Vehicle longitudinal dynamics is applied to the reconstruction of the road network in front of the vehicle based on ADAS map, combined with prior knowledge of predictive fuel-saving driving, and a dynamic programming optimization algorithm for the predictive cruise control of a commercial vehicle is proposed, solving the practicalization problems of dynamic programming algorithm under long-distance and multiple constraints, such as bloating algorithm and the inability in the real-time calculation of onboard embedded system. The results of real vehicle verification test show that under the driving condition of same route, condition and driver, predictive cruise control can achieve fuel saving by 3%~ 6%, compared with ordinary driver driving

Key words: ADAS map, predictive cruise control, dynamic programming, optimization algorithm

王玉海, 李兴坤, 张鹏雷, 郑旭光. 基于ADAS地图的载货车预见巡航实时优化算法^*[J]. 汽车工程, 2020, 42(10): 1335-1339.

Wang Yuhai, Li Xingkun, Zhang Penglei, Zheng Xuguang. Real-time Optimization Algorithm for Truck Predictive Cruise Based on ADAS Map[J]. Automotive Engineering, 2020, 42(10): 1335-1339.

参考文献

[1] HELLSTRÖM E, FRÖBERG A, NIELSEN L. A real-time fuel-optimal cruise controller for heavy trucks using road topography information [C]. Michigan: SAE World Congress & Exhibition, 2006.
[2] HELLSTRÖM E, IVARSSON M, ÅSLUND J, et al. Look-ahead control for heavy trucks to minimize trip time and fuel consumption[J]. Control Engineering Practice, 2009, 17(2): 245-254.
[3] 罗禹贡,陈涛,李克强. 混合动力汽车非线性模型预测巡航控制[J]. 机械工程学报,2015, 51(16): 11-21.
LUO Y G, CHEN T, LI K Q. Nonlinear model predictive cruise control of hybrid electric vehicle[J]. Journal of Mechanical Engineering, 2015, 51(16): 11-21.
[4] HAMEDNIA A, MURGOVSKI N, FREDRIKSSON J. Predictive velocity control in a hilly terrain over a long look-ahead horizon [C]. Changchun: 5^th IFAC Conference on Engine and Powertrain Control, 2018.
[5] 李升波,徐少兵,王文军,等. 汽车经济性驾驶技术及应用概述[J]. 汽车安全与节能学报,2014, 5(2): 121-131.
LI S B, XU S B, WANG W J, et al. Overview of ecological driving technology and application for ground vehicles[J]. Journal of Automotive Safety and Energy, 2014, 5(2): 121-131.
[6] 徐少兵. 车辆经济性驾驶的策略辨识与操控规律[D]. 北京: 清华大学, 2016.
XU S B. Strategy identification and operation rules of vehicular economical driving[D]. Beijing: Tsinghua University, 2016.
[7] HELLSTRÖM E, ÅSLUND J, NIELSEN L. Design of well-behaved algorithm for on-board look-ahead control[C]. Korea: 7^th IFAC World Congress, 2008:3350-3355.
[8] 郝代. 重型车AMT换档过程动力中断的功率损失特性研究[D]. 长春: 吉林大学,2011.
HAO D. Research on the power loss characteristics caused by driving force interrupt during shifting process of heavy-duty AMT[D]. Changchun: Jilin University, 2011.
[9] 余志生. 汽车理论[M]. 北京:机械工业出版社, 2009.
YU Z S. The theory of automobile[M]. Beijing: China Machine Press, 2009.

[1]	林歆悠,黄强,张光吉. 基于PSO的新型双电机多模式驱动系统转矩分配策略优化[J]. 汽车工程, 2022, 44(8): 1218-1225.
[2]	马彦,李佳怡,马乾,陈明超. 基于迭代动态规划的动力电池组热管理优化策略[J]. 汽车工程, 2022, 44(5): 709-721.
[3]	张哲,丁海涛,张袅娜,郭孔辉. 智能网联电动汽车经济性巡航速度规划[J]. 汽车工程, 2022, 44(4): 609-616.
[4]	陈龙,陈智星,徐兴,王峰,蔡英凤,张涛. 考虑发动机起停优化的PHEV能量管理策略[J]. 汽车工程, 2021, 43(3): 313-322.
[5]	李跃娟,齐巍,王成,张博,卢强. 并联混合动力汽车ECMS的时变等效因子提取算法的研究[J]. 汽车工程, 2021, 43(2): 181-188.
[6]	冷江昊,孙超,卢兵. 智能车辆多信号灯路口快速节能车速规划[J]. 汽车工程, 2021, 43(10): 1442-1447.
[7]	赵治国, 唐旭辉, 付靖, 范佳琦. 功率分流混合动力系统发动机停机优化控制^*[J]. 汽车工程, 2020, 42(8): 993-999.
[8]	赵治国, 范佳琦, 蒋蓝星, 唐旭辉, 付靖. 复合功率分流系统发动机起动H_∞鲁棒优化控制^*[J]. 汽车工程, 2020, 42(4): 417-424.
[9]	林歆悠, 伍家鋆, 魏申申. 双电机耦合驱动电动汽车驱动模式划分与优化^*[J]. 汽车工程, 2020, 42(4): 425-430.
[10]	鲍伟, 葛建军. 基于稀疏采样数据的电动公交车电池SOC预测方法研究^*[J]. 汽车工程, 2020, 42(3): 367-374.
[11]	金辉, 张俊. 智能车经济性起步车速规划研究^*[J]. 汽车工程, 2020, 42(2): 270-277.
[12]	金辉, 张子豪. 基于自适应动态规划的HEV能量管理研究综述^*[J]. 汽车工程, 2020, 42(11): 1490-1496.
[13]	解少博，刘通，李会灵，辛宗科. 基于马尔科夫链的并联PHEB预测型能量管理策略研究[J]. 汽车工程, 2018, 40(8): 871-877.
[14]	解少博，刘通，李会灵，魏朗. 双电机一体化纯电动客车动力分配策略优化[J]. 汽车工程, 2018, 40(7): 749-.
[15]	解少博，辛宗科，李会灵，刘通，魏朗. 插电式混合动力公交车电池配置和能量管理策略协同优化的研究[J]. 汽车工程, 2018, 40(6): 625-.

基于ADAS地图的载货车预见巡航实时优化算法^*

Real-time Optimization Algorithm for Truck Predictive Cruise Based on ADAS Map

PDF (PC)

赞

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

Metrics

本文评价

推荐阅读 10