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

dc.contributor.authorJauch, Jens
dc.date.accessioned2024-03-12T04:08:46Z
dc.date.available2024-03-12T04:08:46Z
dc.date.issued2024
dc.date.submitted2024-03-11T10:40:10Z
dc.identifierhttps://library.oapen.org/handle/20.500.12657/88261
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/135481
dc.description.abstractThis 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.
dc.languageEnglish
dc.relation.ispartofseriesKarlsruher Schriftenreihe Fahrzeugsystemtechnik
dc.rightsopen access
dc.subject.othervehicle longitudinal control; Kalman filter; approximation; B-spline; trajectory optimization; Fahrzeuglängsführung; Kalmanfilter; Approximation; B-Spline; Trajektorienoptimierung
dc.subject.otherthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials
dc.titleTrajectory optimization based on recursive B-spline approximation for automated longitudinal control of a battery electric vehicle
dc.typebook
oapen.identifier.doi10.5445/KSP/1000164662
oapen.relation.isPublishedBy68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2
oapen.pages264
dc.seriesnumber112


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