Optimal Powertrain Control of a Heavy-Duty Vehicle Under Varying Speed Requirements

被引:0
|
作者
Henriksson, Manne [1 ,2 ]
Flardh, Oscar [2 ]
Martensson, Jonas [1 ,3 ]
机构
[1] KTH Royal Inst Technol, Dept Automat Control, S-10044 Stockholm, Sweden
[2] Scania CV AB, S-15187 Sodertalje, Sweden
[3] KTH Royal Inst Technol, Integrated Transport Res Lab, S-10044 Stockholm, Sweden
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Reducing the fuel consumption is a major issue in the vehicle industry. In this paper, it is done by formulating a driving mission of a heavy-duty truck as an optimal control problem and solving it using dynamic programming. The vehicle model includes an engine and a gearbox with parameters based on measurements in test cells. The dynamic programming algorithm is solved by considering four specific types of transitions: transitions between the same gear, coasting in neutral gear, coasting with a gear engaged with no fuel injection and transitions involving gear changes. Simulations are performed on a driving cycle commonly used for testing distribution type of driving. In order to make sure that the truck does not deviate too much from a normal way of driving, restrictions on maximum and minimum allowed velocities are imposed based on statistics from real traffic data. The simulations show that 12.7% fuel can be saved without increasing the trip time by allowing the truck to engage neutral gear and make small deviations from the reference trajectory.
引用
收藏
页数:6
相关论文
共 50 条
  • [1] Optimal Speed Control of a Heavy-Duty Vehicle in Urban Driving
    Held, Manne
    Flardh, Oscar
    Martensson, Jonas
    [J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2019, 20 (04) : 1562 - 1573
  • [2] Optimal Speed Control of a Heavy-Duty Vehicle in the Presence of Traffic Lights
    Held, Manne
    Flardh, Oscar
    Martensson, Jonas
    [J]. 2018 IEEE CONFERENCE ON DECISION AND CONTROL (CDC), 2018, : 6119 - 6124
  • [3] Optimal Speed Trajectory for a Heavy Duty Truck Under Varying Requirements
    Henriksson, Manne
    Flardh, Oscar
    Martensson, Jonas
    [J]. 2016 IEEE 19TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC), 2016, : 820 - 825
  • [4] Switched Optimal Control of a Heavy-Duty Hybrid Vehicle
    Abotabik, Muataz
    Meyer, Richard T.
    [J]. ENERGIES, 2021, 14 (20)
  • [5] Optimal Eco-Driving of a Heavy-Duty Vehicle Behind a Leading Heavy-Duty Vehicle
    Sharma, Nalin Kumar
    Hamednia, Ahad
    Murgovski, Nikolce
    Gelso, Esteban R.
    Sjoberg, Jonas
    [J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 22 (12) : 7792 - 7803
  • [6] Speed tracking and vehicle follower control design for heavy-duty vehicles
    Yanakiev, D
    Kanellakopoulos, I
    [J]. VEHICLE SYSTEM DYNAMICS, 1996, 25 (04) : 251 - 276
  • [7] Speed Control of an Uncertain Heavy-Duty Vehicle Using Improved IMC Technique
    Yadav, Anil Kumar
    Gaur, Prerna
    [J]. ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING, 2017, 42 (07) : 2981 - 2991
  • [8] Heavy-duty vehicle modelling and longitudinal control
    Lu, XY
    Hedrick, JK
    [J]. VEHICLE SYSTEM DYNAMICS, 2005, 43 (09) : 653 - 669
  • [9] Speed Control of an Uncertain Heavy-Duty Vehicle Using Improved IMC Technique
    Anil Kumar Yadav
    Prerna Gaur
    [J]. Arabian Journal for Science and Engineering, 2017, 42 : 2981 - 2991
  • [10] Reducing Fuel Consumption on a Heavy-Duty Nonroad Vehicle: Conventional Powertrain Modifications
    Goodenough, Bryant
    Czarnecki, Alexander
    Robinette, Darrell
    Worm, Jeremy
    Latendresse, Phil
    Westman, John
    [J]. SAE International Journal of Advances and Current Practices in Mobility, 2023, 6 (01):