In this paper, an energy-efficient predictive cruise control (PCC) algorithm for commercial vehicles that can optimize vehicle speed in real time is proposed. The predictive cruise problem for commercial vehicles is described as a mixed integer programming (MIP) problem in the model predictive control (MPC) framework and a vehicle controller is designed. The objective function is quadratic, and the system dynamics and performance requirements are transformed into linear constraints by relaxation and introduction of auxiliary variables. The road ahead information is acquired through V2X technology and the cruise speed can be set by the driver. The predictive cruise algorithm is validated under highway conditions with slope variations. The fuel consumption can be reduced by 1.778% compared to normal cruise control. The proposed algorithm can be extended to other more complex traffic conditions by simply adding different constraints or weights to the state or control variables.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Predictive Cruise Control Algorithm Design for Commercial Vehicle Energy Saving Based on Mixed Integer Programming*


    Contributors:
    Li, Xianning (author) / Hong, Jinlong (author) / Huang, Yanjun (author) / Chen, Hong (author)


    Publication date :

    2021-10-29


    Size :

    796005 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




    Energy-Saving Model Predictive Cruise Control Combined with Vehicle Driving Cycles

    Xu, ZhiHao / Li, JianHua / Xiao, Feng et al. | Springer Verlag | 2022


    Commercial vehicle predictive cruise control method and system

    LI FENG / LI JIAPING / DU YU et al. | European Patent Office | 2025

    Free access

    Cloud control platform for energy-saving cruise driving application and predictive cruise control system

    LI KEQIANG / GAO BOLIN / ZHU SHIHAO et al. | European Patent Office | 2020

    Free access