Heavy-duty diesel vehicle formation with transient integrated control of fuel consumption and emission in an intelligent network environment

被引:2
|
作者
Liu, Di [1 ,2 ]
Chen, Hong [3 ]
Sun, Yao [1 ]
Hu, Yunfeng [2 ]
机构
[1] Jilin Univ, State Key Lab Automot Simulat & Control, Changchun, Peoples R China
[2] Jilin Univ, Coll Commun Engn, Changchun 130022, Peoples R China
[3] Tongji Univ, Sch Automot Studies, Shanghai, Peoples R China
基金
中国国家自然科学基金;
关键词
Intelligent network; vehicle platoon; transient optimization; fuel consumption; NOx emissions; MODEL-PREDICTIVE CONTROL; LOOK-AHEAD CONTROL; PLATOON; SYSTEM; TIME;
D O I
10.1177/09596518221116948
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Platoon formation has attracted extensive attention recently due to its potential to significantly reduce fuel consumption and emissions. For the problem of optimizing vehicle platoon formation, existing methods can only ensure the optimal operation of a single vehicle, but not the overall optimal fuel consumption and emissions of a platoon. In this study, a new optimization control method is proposed for the formation process of diesel commercial vehicles, that solves the transient fuel consumption and NOx emissions integrated optimization problem for the whole platoon. First, mathematical models of instantaneous vehicle fuel consumption and NOx emissions are established by polynomial fitting, and an optimization objective function considering overall fuel consumption, NOx emissions and vehicle acceleration of the whole platoon is given. Second, the relative distance, velocity and acceleration are considered as constraints, and their upper and lower bounds are determined by comprehensively considering the feasibility of the optimization variables. Third, a grid equivalent method for platoon formation time is proposed that transforms the platoon formation optimization problem with free terminal time into an optimization problem with fixed terminal time, and the optimal solution is obtained by the interior-point method. Finally, a co-simulation with GT-power and MATLAB shows that the proposed method can obtain the comprehensive optimization of fuel consumption and NOx emissions while maintaining safety and ensure the enforceability of the desired vehicle speed and acceleration.
引用
收藏
页码:1830 / 1844
页数:15
相关论文
共 50 条
  • [21] Transient fuel consumption prediction for heavy-duty trucks using on-road measurements
    Peng, Chong
    Wang, Yiyi
    Xu, Ting
    Chen, Yixin
    INTERNATIONAL JOURNAL OF SUSTAINABLE TRANSPORTATION, 2023, 17 (08) : 956 - 967
  • [22] Analysis of the CO2, NOx emission and fuel consumption from a heavy-duty vehicle designed for carriage of timber
    Fuc, P.
    Lijewski, P.
    Ziolkowski, A.
    SCIENTIFIC CONFERENCE ON AUTOMOTIVE VEHICLES AND COMBUSTION ENGINES (KONMOT 2016), 2016, 148
  • [23] A Study on High-Accuracy Test Method for Fuel Consumption of Heavy-Duty Diesel Vehicles Considering the Transient Characteristics of Engines
    Mizushima, Norifumi
    Yamaguchi, Kyohei
    Kawano, Daisuke
    Suzuki, Hisakazu
    Ishii, Hajime
    SAE INTERNATIONAL JOURNAL OF FUELS AND LUBRICANTS, 2016, 9 (02) : 383 - 391
  • [24] Fuel-efficient control of merging maneuvers for heavy-duty vehicle platooning
    Koller, J. P. J.
    Colin, A. Grossmann
    Besselink, B.
    Johansson, K. H.
    2015 IEEE 18TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS, 2015, : 1702 - 1707
  • [25] Novel evaluation method of fuel consumption and emission for heavy-duty hybrid electric vehicles
    F. W. Yan
    P. Zhang
    C. Q. Du
    D. Guo
    International Journal of Automotive Technology, 2014, 15 : 773 - 779
  • [26] NOVEL EVALUATION METHOD OF FUEL CONSUMPTION AND EMISSION FOR HEAVY-DUTY HYBRID ELECTRIC VEHICLES
    Yan, F. W.
    Zhang, P.
    Du, C. Q.
    Guo, D.
    INTERNATIONAL JOURNAL OF AUTOMOTIVE TECHNOLOGY, 2014, 15 (05) : 773 - 779
  • [27] Study on the Performance and Emission Characteristics of Heavy-Duty Diesel Engine Using Ethanol-Diesel Blends as Fuel
    Jia, Yuan-Hua
    Wu, Gui-Fu
    Xing, En-Hui
    Zhou, Nai-Wei
    2016 INTERNATIONAL CONFERENCE ON MATERIALS SCIENCE AND ENGINEERING APPLICATION (ICMSEA 2016), 2016, : 174 - 178
  • [28] Emission reduction potential of using ethanol-biodiesel-diesel fuel blend on a heavy-duty diesel engine
    Shi, XY
    Pang, XB
    Mu, YJ
    He, H
    Shuai, SJ
    Wang, JX
    Chen, H
    Li, RL
    ATMOSPHERIC ENVIRONMENT, 2006, 40 (14) : 2567 - 2574
  • [29] Characterization of Real-World Pollutant Emissions and Fuel Consumption of Heavy-Duty Diesel Trucks with Latest Emissions Control
    Keramydas, Christos
    Ntziachristos, Leonidas
    Tziourtzioumis, Christos
    Papadopoulos, Georgios
    Lo, Ting-Shek
    Ng, Kwok-Lam
    Wong, Hok-Lai Anson
    Wong, Carol Ka-Lok
    ATMOSPHERE, 2019, 10 (09)
  • [30] Health and economic benefits of heavy-duty diesel truck emission control policies in Beijing
    Cheng, Shifen
    Zhang, Beibei
    Peng, Peng
    Lu, Feng
    ENVIRONMENT INTERNATIONAL, 2023, 179