In the last decade, various electrified powertrain topologies, such as Parallel Hybrid, Serial Hybrid / Range Extender and Battery Electric Vehicles have evolved. This increasing variety is being handled using modular powertrain hardware components and suitable software functions. In conformance with this approach, Bosch delivers modular hardware components, but is also developing a modular function set for optimal energy-based powertrain control that shall be discussed in the following contribution. The presented approach can incorporate various information sources, enabling the planning of the optimal vehicle velocity and appropriate eDrive actuation. The approach is currently being validated in a co-simulation environment and in various test vehicles covering different powertrain topologies. In this paper, we have discussed some of the concepts we have analyzed with regards to energy-based powertrain control, which can handle various powertrain topologies and variants. We have developed a generic functional structure that includes the various vehicle domains and subsystems involved. Finally, we have discussed different approaches for operating and driving strategy optimization, including ideas regarding the separation of the two for greater flexibility. Currently we are evaluating the implementations of the discussed approaches both in simulation and in real vehicles. By implementing different operating and driving strategy applications, we show the suggested functional structure's general feasibility and derive basic requirements and use-cases. Until now, our focus has been on cross-domain energy management functions within the system boundaries of the vehicle itself. In the future, we will extend our research towards data exchange with the cloud. This will not only create new use-cases but also prove the concept of data encapsulation of our suggested functional structure. For example, algorithms for predictive planning of the vehicle velocity will be able to access average velocities driven by different drivers. This additional information will improve resulting operating and driving strategies. At the same time, the integration of cloud data as additional sensor information will demonstrate, how decoupling functions from single sensors and actuators simplifies function integration and calibration.


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    Titel :

    Connected energy-based powertrain control for various hybrid vehicle topologies


    Beteiligte:
    Radke, Tobias (Autor:in) / Fischer, Uta (Autor:in) / Huber, Alexander (Autor:in) / Naumann, Marc (Autor:in) / Ritzert, Jens (Autor:in) / Wagner, Andreas (Autor:in)


    Erscheinungsdatum :

    2014


    Format / Umfang :

    11 Seiten, Bilder, 6 Quellen


    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Datenträger


    Sprache :

    Englisch




    Connected energy-based powertrain control for various hybrid vehicle topologies

    Radke,T. / Fischer,U. / Huber,A. et al. | Kraftfahrwesen | 2014


    Multi-objective optimisation for battery electric vehicle powertrain topologies

    Othaganont, Pongpun / Assadian, Francis / Auger, Daniel J | SAGE Publications | 2017




    HYBRID VEHICLE POWERTRAIN

    MARTIN DOUGLAS RAYMOND / MILLER KENNETH JAMES | Europäisches Patentamt | 2017

    Freier Zugriff