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  • Trajectory optimization based on recursive B-spline approximation for automated longitudinal control of a battery electric vehicle

    Jens Jauch

    Band 112 von Karlsruher Schriftenreihe Fahrzeugsystemtechnik
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    This work describes a method for weighted least squares approximation of an unbounded number of data points using a B-spline function. The method can shift the bounded B-spline function definition range during run-time. The approximation method is used for optimizing velocity trajectories for an electric vehicle with respect to travel time, comfort and energy consumption. The trajectory optimization method is extended to a driver assistance system for automated vehicle longitudinal control.

    Umfang: XVIII, 195 S.

    Preis: 42.00 €

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    Empfohlene Zitierweise
    Jauch, J. 2024. Trajectory optimization based on recursive B-spline approximation for automated longitudinal control of a battery electric vehicle. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000164662
    Jauch, J., 2024. Trajectory optimization based on recursive B-spline approximation for automated longitudinal control of a battery electric vehicle. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000164662
    Jauch, J. Trajectory Optimization Based on Recursive B-spline Approximation for Automated Longitudinal Control of a Battery Electric Vehicle. KIT Scientific Publishing, 2024. DOI: https://doi.org/10.5445/KSP/1000164662
    Jauch, J. (2024). Trajectory optimization based on recursive B-spline approximation for automated longitudinal control of a battery electric vehicle. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000164662
    Jauch, Jens. 2024. Trajectory Optimization Based on Recursive B-spline Approximation for Automated Longitudinal Control of a Battery Electric Vehicle. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000164662




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    Weitere Informationen

    Veröffentlicht am 1. März 2024

    Sprache

    Englisch

    Seitenanzahl:

    266

    ISBN
    Paperback 978-3-7315-1332-2

    DOI
    https://doi.org/10.5445/KSP/1000164662