Hybrid Electric Vehicles are an evolving technology that improves the fuel economy of vehicles, and will become even more important as the fuel economy requirements for vehicles increase in the future. Ford has continually improved the vehicle Controls Architecture over its three generations of hybrid designs to meet or exceed the customer attribute expectations, as revealed in this paper. The effort of improvements, of course, is never complete. The complexity of the Controls Architecture for the base vehicle was dramatically increased in the 3rd generation system versus the previous designs. The hybrid architecture expanded greatly with the addition of the Plug-in Hybrid Electric Vehicle (PHEV) vehicles, which have additional hardware and charging functions that operate using the electric utility grid while the vehicle's ignition is turned off. Looking into the future, the base vehicle controls architecture will continue to develop and expand into new functions that impact the hybrid powertrain, such as advanced adaptive cruise control, crash intervention and avoidance, and other features. The number of vehicle platforms will also expand, providing the fuel economy benefits of the hybrid powertrain to more of the vehicle fleet. In order to meet this expansion, Ford will have to move beyond the current processes in specifying the interfaces between the on-board control modules. All functional interface specifications will be required to be written, linked, and tested at multiple levels to assure performance and quality. Ford is implementing advanced database tools for our next generation of vehicles, providing traceability from the vehicle attribute down to the physical hardware or network communication signal. This new database tool will permit Ford to further deliver customer attributes though an advanced Hybrid Controls Architecture. The goal for Ford remains to deliver exceptional vehicles that exceed customer expectations in performance and fuel economy, advanced features, drivability, comfort and value.


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    Titel :

    Ford hybrid controls architecture for customer attributes


    Beteiligte:
    Hammoud, Mazen (Autor:in) / Gee, Tom (Autor:in) / Treharne, David (Autor:in)


    Erscheinungsdatum :

    2014


    Format / Umfang :

    23 Seiten, 18 Bilder


    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Datenträger


    Sprache :

    Deutsch




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