Advanced automation and information systems are shaping the future of transportation by enabling advanced approaches, such as ecodriving control strategies, which improve safety and energy efficiency of personal transport. This paper contributes to the field of ecodriving control by developing a novel approach capable to deal with curvy roads, combining road grade and curvature look ahead to keep the driving comfortable, while also considering pollutant emissions. The formulation and solution of emission aware ecodriving as an optimal control problem is presented and, more specifically, a novel switching Nonlinear Model Predictive Control (NMPC) is proposed. Its feasibility and potential are shown by means of simulation case studies based on real world test cases, a validated vehicle model, and measured road topology. Hence, it is shown that emission aware ecodriving is a viable option and that developers of future ecodriving systems should expand their focus from solely energy efficiency towards additional targets.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Design of a switching nonlinear MPC for emission aware ecodriving



    Erscheinungsdatum :

    2023-01-01



    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Klassifikation :

    DDC:    629



    Design of a Switching Nonlinear MPC for Emission Aware Ecodriving

    Incremona, Gian Paolo / Polterauer, Philipp | IEEE | 2023


    A switching nonlinear MPC approach for ecodriving

    Polterauer P. / Incremona G. P. / Colaneri P. et al. | BASE | 2019

    Freier Zugriff

    Fuel Economy of Ecodriving Programs

    Abuzo, Anabel A. / Muromachi, Yasunori | Transportation Research Record | 2014


    Connected Cooperative Ecodriving System Considering Human Driver Error

    Qi, Xuewei / Wang, Peng / Wu, Guoyuan et al. | IEEE | 2018


    Safety Assessment of Ecodriving Vehicles on Following Traffic

    Duan, Xi / Abbas, Montasir | Transportation Research Record | 2019