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        Modellgestützte Entwicklung eines Multi-Mode-Getriebes für einen plug-in-hybrid-elektrischen Antriebsstrang

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        Author(s)
        Geng, Stefan
        Collection
        AG Universitätsverlage
        Language
        German
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        Abstract
        Plug-in hybrid electric vehicles combine low-emission driving with the advantages of conventional powered vehicles in terms of operating range and refueling time. Decisive for the fuel economy of such vehicles is the configuration of the transmission, the internal combustion engine and the electric motor within the powertrain. Powertrain configurations with multimode transmissions can switch between various couplings of the engine and electric motor, enabling additional fuel savings compared to a fixed coupling. This thesis describes a systematic approach for the model-based development of multimode transmissions and the corresponding control algorithms. It is based on a modelling approach for powertrains and transmissions, while the model's level of detail can be adapted to various development tasks. The overall approach is used to develop a functional concept that provides the basis for the design of a new multimode transmission. For this transmission the necessary control algorithms and an operating strategy for selecting the gear and operating mode are developed. Furthermore, a model-based evaluation of the potential fuel consumption is carried out, taken into account efficiency measurements obtained from a corresponding transmission prototype.
        URI
        https://library.oapen.org/handle/20.500.12657/62255
        Keywords
        powertrain simulation; powertrain optimization; multi-mode-transmission; operating strategies; hybrid electric vehicles
        DOI
        10.14279/depositonce-16734
        ISBN
        9783798332997, 9783798332997, 9783798333000
        Publisher
        Universitätsverlag der Technischen Universität Berlin
        Publisher website
        https://verlag.tu-berlin.de/
        Publication date and place
        Berlin, 2023
        Series
        Advances in Mechatronic Systems, 2
        Classification
        Mechanical engineering and materials
        Energy technology and engineering
        Pages
        264
        Rights
        https://creativecommons.org/licenses/by/4.0/
        • Imported or submitted locally

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        License

        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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