Please wait a minute...
浙江大学学报(工学版)
浙江大学学报(工学版)  2017, Vol. 51 Issue (10): 2046-2054    DOI: 10.3785/j.issn.1008-973X.2017.10.020
土木工程、交通工程     
车辆行驶工况的开发和精度研究
高建平, 孙中博, 丁伟, 郗建国
河南科技大学 车辆与交通工程学院, 河南 洛阳 471003
Development of vehicle driving cycle and accuracy of research
GAO Jian-ping, SUN Zhong-bo, DING Wei, XI Jian-guo
Vehicle and Transportation Engineering Institute, Henan University of Science and Technology, Luoyang 471003, China
 全文: PDF(3306 KB)   HTML
摘要：

为了反映某一地区车辆的真实油耗和排放，通过实车试验数据的采集，以短行程分析法为主体构建本土化的行驶工况.采用因子分析选取15个表征道路特性参数中最具代表性的3个，结合组合优化算法优化的k均值聚类算法对各运动学片段完成聚类，构建的行驶工况与采用主成分分析和组合优化算法优化的k均值聚类算法及不优化k均值聚类算法分别构建的行驶工况相对实际行驶工况以α'=0.008 33水准的检验无显著差异.利用AVL-Cruise平台搭建的整车模型加载各工况，开展油耗和排放性能仿真实验，其中以实际行驶工况与采用因子分析和组合优化算法优化的k均值聚类算法构建的行驶工况油耗和排放相对误差最小，分别为1.15%、1.17%、1.8%和1%.结果表明，构建的行驶工况能够反映这一地区实际的交通特征，提高了工况拟合精度.
Abstract:

The localized driving cycle was constructed by using the method of short stroke analysis through the collection of real vehicle test data in order to reflect the real fuel consumption and emission of the vehicle in a certain area. The factor analysis was conducted to select the 15 parameters of three most representative in the characterization of the road. The k-means clustering algorithm of combinatorial optimization algorithm was combined to complete clustering on kinematic sequences. The driving cycle of k-means clustering algorithm of principal component analysis and combinatorial optimization algorithm optimization and not optimization of k-means clustering algorithm that were constructed relative to the actual driving cycle to test the α'=0.008 33 level had no significant difference. AVL-Cruise platform was used to load driving cycle of the vehicle model in order to conduct the fuel consumption and emissions performance simulation experiment. The factor analysis with real driving cycle and combinatorial optimization algorithm was used to optimize k-means clustering algorithm in order to construct minimum fuel consumption and emissions of driving cycle of relative error, 1.15%, 1.17%, 1.8% and 1% respectively. Results show that the driving cycle of the construction can reflect the actual traffic characteristics of this area and improve the fitting precision of the driving cycle.
收稿日期: 2016-08-15 出版日期: 2017-09-27
CLC:  U469  
基金资助:

河南省科技攻关计划资助项目（152102210073）；国家自然科学基金资助项目（U1604147）.
作者简介: 高建平(1976-),男,副教授,从事新能源汽车研究.ORCID:0000-0003-1287-2197.E-mail:gjpcar@gmail.com
服务　　
把本文推荐给朋友
加入引用管理器
E-mail Alert
作者相关文章　　

引用本文:

高建平, 孙中博, 丁伟, 郗建国. 车辆行驶工况的开发和精度研究[J]. 浙江大学学报(工学版), 2017, 51(10): 2046-2054.

GAO Jian-ping, SUN Zhong-bo, DING Wei, XI Jian-guo. Development of vehicle driving cycle and accuracy of research. JOURNAL OF ZHEJIANG UNIVERSITY (ENGINEERING SCIENCE), 2017, 51(10): 2046-2054.

链接本文:

http://www.zjujournals.com/eng/CN/10.3785/j.issn.1008-973X.2017.10.020    或    http://www.zjujournals.com/eng/CN/Y2017/V51/I10/2046

[1] 郑天雷.全球车辆循环工况调查与对比[R].天津:中国汽车技术研究中心,2011. ZHENG Tian-lei. Research and comparisons of vehicle driving cycle in the world[R]. Tianjin:China Automotive Technology and Research Center, 2011.
[2] 赵新燕.郑州市机动车污染排放特征与控制措施研究[D].长春:吉林大学,2014. ZHAO Xin-yan. Research on vehicle pollution emission characteristics and control measures in Zhengzhou[D]. Changchun:Jilin University, 2014.
[3] 张文凯.郑州市机动车排放清单建立及减排情景研究[D].郑州:郑州大学, 2015. ZHANG Wen-kai. Research on establishment of vehicle emission inventory and its abatement scenarios in Zhengzhou[D]. Zhengzhou:Zhengzhou University, 2015.
[4] FOTOUHI A, MONTAZERI-GH M. Tehran driving cycle development using the k-means clustering method[J]. Scientia Iranica, 2013, 20(2):286-293.
[5] NESAMANI K S, SUBRAMANIAN K P. Development of a driving cycle for intra-city buses in Chennai[J]. Atmospheric Environment, 2011(45):5469-5476.
[6] 万霞,黄文伟,强明明.深圳市乘用车道路行驶工况构建[J].深圳大学学报:理工版,2016,33(3):281-287. WAN Xia, HUANG Wen-wei, QIANG Ming-ming. Construction of driving cycle for passenger vehicles in Shenzhen[J]. Journal of Shenzhen University:Science and Engineering,2016,33(3):281-287.
[7] 石敏.轻型汽车行驶工况构建的研究[D].天津:天津理工大学,2013. SHI Min. Research of construction of the light-duty vehicles driving cycle[D]. Tianjin:Tianjin University of Technology, 2013.
[8] 杨小娟,王建.北京市重型客车行驶工况的构建与研究[J].环境工程技术学报,2015,5(6):455-463. YANG Xiao-juan, WANG Jian. Construction andresearch of heavy-coach's driving cycle in Beijing city[J]. Journal of Environmental Engineering Technology, 2015, 5(6):455-463.
[9] 胡志远,秦艳,谭丕强,等.基于大样本的上海市乘用车行驶工况构建[J].同济大学学报:自然科学版,2015,43(10):1523-1527. HU Zhi-yuan, QIN Yan, TAN Pi-qiang, et al. Large sample based car driving cycle in Shanghai city[J]. Journal of Tongji University:Natural Science, 2015,43(10):1523-1527.
[10] 秦大同,詹森,漆正刚,等.基于K-均值聚类算法的行驶工况构建方法[J].吉林大学学报:工学版,2016,46(2):383-389. QIN Da-tong, ZHAN Sen, QI Zheng-gang, et al. Driving cycle construction using K-means clustering method[J]. Journal of Jilin University:Engineering and Technology Edition, 2016, 46(2):383-389.
[11] 王楠楠.城市道路行驶工况构建及油耗研究[D].合肥:合肥工业大学,2012. WANG Nan-nan. Construction of the urban road driving cycle and research of the fuel consumption[D]. Hefei:Hefei University of Technology, 2012.
[12] 詹森,秦大同,曾育平.基于遗传优化k均值聚类算法工况识别的混合动力汽车能量管理策略[J].中国公路学报,2016, 29(4):130-137. ZHAN Sen, QIN Da-tong, ZENG Yu-ping. Energy management strategy of HEV based on driving cycle recognition using genetic optimized K-means clustering algorithm[J]. China Journal of Highway and Transport, 2016, 29(4):130-137.
[13] 石琴,仇多洋,周洁瑜.基于组合聚类法的行驶工况构建与精度分析[J].汽车工程,2012, 34(2):164-169. SHI Qin, QIU Duo-yang, ZHOU Jie-yu. Driving cycle constrution and accuracy analysis based on combined clustering technique[J]. Automotive Engineering, 2012, 34(2):164-169.
[14] GAO Jian-ping, LIU Zhen-nan, GUO Zhi-jun, et al. Optimization of hybrid electric bus control strategy with hybrid optimization algorithm[C]//2013 International Conference on Energy Research and Power Engineering. Zhengzhou:Energy Research and Power Engineering, 2013:924-930.
[15] 陈全世,朱家琏,田光宇.先进电动汽车技术[M].2版.北京:化学工业出版社,2014:15-27.
[1] 高建平, 丁伟, 孙中博, 郗建国. 基于道路工况优化的混合动力公交车控制策略[J]. 浙江大学学报(工学版), 2017, 51(11): 2265-2275.
[2] 曾小华, 李文远, 李广含, 宋大凤, 李立鑫. 轮毂液驱车辆泵控系统建模[J]. 浙江大学学报(工学版), 2017, 51(8): 1603-1609.
[3] 初亮, 李天骄, 孙成伟. 面向再生制动优化的电动车自适应巡航控制策略[J]. 浙江大学学报(工学版), 2017, 51(8): 1596-1602.