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  • Predictive energy-efficient motion trajectory optimization of electric vehicles

    Tianyi Guan

    Band 42 von Karlsruher Schriften zur Anthropomatik
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    This work uses a combination of existing and novel methods to optimize the motion trajectory of an electric vehicle in order to improve the energy efficiency and other criteria for a predefined route. The optimization uses a single combined cost function incorporating energy efficiency, travel safety, physical feasibility, and other criteria. Another focus is the optimal behavior beyond the regular optimization horizon.

    Umfang: XXIII, 281 S.

    Preis: €52.00 | £48.00 | $91.00

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    Empfohlene Zitierweise
    Guan, T. 2020. Predictive energy-efficient motion trajectory optimization of electric vehicles. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000098619
    Guan, T., 2020. Predictive energy-efficient motion trajectory optimization of electric vehicles. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000098619
    Guan, T. Predictive Energy-efficient Motion Trajectory Optimization of Electric Vehicles. KIT Scientific Publishing, 2020. DOI: https://doi.org/10.5445/KSP/1000098619
    Guan, T. (2020). Predictive energy-efficient motion trajectory optimization of electric vehicles. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000098619
    Guan, Tianyi. 2020. Predictive Energy-efficient Motion Trajectory Optimization of Electric Vehicles. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000098619




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    Weitere Informationen

    Veröffentlicht am 2. Januar 2020

    Sprache

    Englisch

    Seitenanzahl:

    322

    ISBN
    Paperback 978-3-7315-0978-3

    DOI
    https://doi.org/10.5445/KSP/1000098619