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

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https://library.oapen.org/bitstream/20.500.12657/88261/1/trajectory-optimization-based-on-recursive-b-spline-approximation-for-automated-longitudinal-control-of-a-battery-electric-vehicle.pdf
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https://library.oapen.org/bitstream/20.500.12657/88261/1/trajectory-optimization-based-on-recursive-b-spline-approximation-for-automated-longitudinal-control-of-a-battery-electric-vehicle.pdf
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https://library.oapen.org/bitstream/20.500.12657/88261/1/trajectory-optimization-based-on-recursive-b-spline-approximation-for-automated-longitudinal-control-of-a-battery-electric-vehicle.pdf
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https://library.oapen.org/bitstream/20.500.12657/88261/1/trajectory-optimization-based-on-recursive-b-spline-approximation-for-automated-longitudinal-control-of-a-battery-electric-vehicle.pdf
Author(s)
Jauch, Jens
Collection
AG UniversitätsverlageLanguage
EnglishAbstract
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.