The research develops a reference model of a predictive eco-cruise control (ECC) system that intelligently modulates vehicle speed within a pre-set speed range to minimize vehicle fuel consumption levels using roadway topographic information. The study includes five basic tasks: (1) develop a vehicle powertrain model that can be easily implemented within eco-driving tools; (2) develop a simple fuel consumption model that computes instantaneous vehicle fuel consumption levels based on power exerted; (3) evaluate manual driving and conventional cruise control (CC) driving using field-collected data; (4) develop a predictive ECC system that uses the developed vehicle powertrain and fuel consumption models; and (5) evaluate the potential benefits of the proposed predictive ECC system on a pre-trip and fleet-aggregate basis. This study develops a predictive ECC system that can save fuel and reduce CO2 emissions using road topography information. The performance of the system is tested by simulating a vehicle trip on a section of Interstate 81 in the state of Virginia. The results demonstrate fuel savings of up to 15 percent with execution times within real time. The study found that the implementation of the predictive ECC system could help achieving better fuel economy and air quality.


    Zugriff

    Zugriff über TIB

    Verfügbarkeit in meiner Bibliothek prüfen


    Exportieren, teilen und zitieren



    Titel :

    Predictive Eco-Cruise Control (ECC) System: Model Development, Modeling, and Potential Benefits


    Beteiligte:
    H. A. Rakha (Autor:in) / K. Ahn (Autor:in) / S. Park (Autor:in)

    Erscheinungsdatum :

    2013


    Format / Umfang :

    93 pages


    Medientyp :

    Report


    Format :

    Keine Angabe


    Sprache :

    Englisch




    Predictive Cooperative Adaptive Cruise Control: Fuel Consumption Benefits and Implementability

    Lang, Dominik / Stanger, Thomas / Schmied, Roman et al. | Tema Archiv | 2014



    Potential safety benefits of intelligent cruise control systems

    Chira-Chavala, T. / Yoo, S.M. | Elsevier | 1993


    Personalized Adaptive Cruise Control Based on Artificial Potential Field Model Predictive Control

    Han, Dongming / Yan, Yongjun / Wang, Jinxiang et al. | IEEE | 2023


    PREDICTIVE ADAPTIVE CRUISE CONTROL

    LAHTI JOHN / BALTON CHRISTOPHER S / SCHRAMM ALEXANDER E et al. | Europäisches Patentamt | 2021

    Freier Zugriff