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On Trajectory Optimization of an Electric Vehicle

descriptionPublicationkeyboard_double_arrow_right Part of book or chapter of book , Conference object , Article , Other literature type 01 Jan 2019 Netherlands, Portugal Publisher:Springer International PublishingFunded by:FCT | ALGORITMI Research Centre

Authors: Eligius M. T. Hendrix; Ana Maria A. C. Rocha; Inmaculada García;

doi: 10.1007/978-3-030-24302-9_18

handle: 1822/62899

On Trajectory Optimization of an Electric Vehicle

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Abstract

The efficient control of electrical vehicles may contribute to sustainable use of energy. In recent studies, a model has been analyzed and several algorithms based on branch and bound have been presented. In this work, we discuss a reformulated model on the control of an electric vehicle based on the minimization of the energy consumption during an imposed displacement. We will show that similar results can be obtained by applying standard software. Moreover, this paper shows that the specified control problem can be handled from a dynamic programming perspective.

Countries

Netherlands, Portugal

Related Organizations

University of Minho
Portugal
Wageningen University & Research
Netherlands
University of Malaga
Spain

Keywords

Science & Technology, Electric vehicle Energy optimization Dynamic programming Nonlinear optimization Optimal control Real-time control, Electric vehicle, Dynamic programming, Optimal control, Energy optimization, Nonlinear optimization, Real-time control

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	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	1
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	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average