Development of an Intelligent Cruise Control Using Optimal Control Methods | Zendy

Michael Dellnitz | Zendy; Julian Eckstein | Zendy; Kathrin Flaßkamp | Zendy; Patrick Friedel | Zendy; Christian Horenkamp | Zendy; Ulrich Köhler | Zendy; Sina OberBlöbaum | Zendy; Sebastian Peitz | Zendy; Sebastian Tiemeyer | Zendy

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Development of an Intelligent Cruise Control Using Optimal Control Methods

Author(s) -

Michael Dellnitz,

Julian Eckstein,

Kathrin Flaßkamp,

Patrick Friedel,

Christian Horenkamp,

Ulrich Köhler,

Sina OberBlöbaum,

Sebastian Peitz,

Sebastian Tiemeyer

Publication year - 2014

Publication title -

procedia technology

Language(s) - English

Resource type - Journals

ISSN - 2212-0173

DOI - 10.1016/j.protcy.2014.09.082

Subject(s) - cruise control , cruise , control (management) , control engineering , computer science , automotive engineering , engineering , aeronautics , artificial intelligence , aerospace engineering

In this contribution, the range extension problem of electric vehicles is addressed. To this aim, an intelligent cruise control is developed based on the formulation of an optimal control problem. Solutions of this optimal control problem are energy efficient accelerator pedal position profiles. They can be computed numerically by a direct optimal control method using sequential quadratic programming. The approach is applied to two different driving scenarios. The results show that the energy efficiency is increased by using optimal control for both an artificial and a realistic scenario

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