Reference : Design and Simulation of a Real-Time Implementable Energy-Efficient Model-Predictive ...

	Document type :	Scientific journals : Article
	Discipline(s) :	Engineering, computing & technology : Electrical & electronics engineering
	To cite this reference:	http://hdl.handle.net/10993/17483

Title :	Design and Simulation of a Real-Time Implementable Energy-Efficient Model-Predictive Cruise Controller for Electric Vehicles
Language :	English
Author, co-author :	Schwickart, Tim Klemens [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Voos, Holger [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit > ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)]
	Minaglou, Jean-Régis [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
	Darouach, Mohamed [> >]
	Rosich, Albert [> >]
Publication date :	Feb-2015
Journal title :	Journal of the Franklin Institute
Publisher :	Pergamon Press - An Imprint of Elsevier Science
Volume :	352
Issue/season :	2
Special issue title :	Special Issue on Control and Estimation of Electric Vehicles
Pages :	603-625
Peer reviewed :	Yes (verified by ORBilu)
Audience :	International
ISSN :	0016-0032
Keywords :	[en] Model-Predictive Control ; Eco-Driving / Eco-Cruise Control ; Optimal Control
Abstract :	[en] This paper presents the design of a novel energy-efficient model-predictive cruise controller for electric vehicles as well a simulation model of the longitudinal vehicle dynamics and its energy consumption. Both, the controller and the dynamic model are designed to meet the properties of a series-production electric vehicle whose characteristics are identified and verified by measurements. A predictive eco-cruise controller involves the minimisation of a compromise between terms related to driving speed and energy consumption which are in general both described by nonlinear differential equations. Considering the nonlinearities is essential for a proper prediction of the system states over the prediction horizon to achieve the desired energy-saving behaviour. In this work, the vehicle motion equation is reformulated in terms of the kinetic energy of the moving vehicle which leads to a linear differential equation without loss of information. The energy consumption is modeled implicitly by exploiting the special form of the optimisation problem. The reformulations finally lead to a model-predictive control approach with quadratic cost function, linear prediction model and linear constraints that corresponds to a piecewise linear system behaviour and allows a fast real-time implementation with guaranteed convergence. Simulation results of the MPC controller and the simulation model in closed-loop operation finally provide a proof of concept.
Research centres :	Interdisciplinary Centre for Security, Reliability and Trust
Target :	Researchers ; Professionals ; Students
Permalink :	http://hdl.handle.net/10993/17483

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