Paper Info
Title
An Efficient Nonlinear Model-Predictive Eco-Cruise Control For Electric Vehicles
Abstract
A nonlinear problem formulation of an energy-saving model-predictive eco-cruise controller for electric vehicles is presented. With regard to the intended application in real-world tests, the model has to include the specific properties of a serial electric vehicle such as energy-recovery and a discontinuous accelerator input giving rise to a binary control variable. These specific features and the nonlinearity of the system dynamics make it a challenging task to formulate the optimisation problem in a way that allows a fast computation in real-time application. The challenges are addressed by using a model of the vehicle dynamics that is formulated in terms of the vehicle position instead of time and by considering the kinetic energy instead of the velocity. Furthermore, various constraints on the input and state variables are introduced for a realistic representation of the vehicle characteristics. A special focus is put on the treatment of a binary input variable in the optimisation. Here, in order to avoid a mixed-integer formulation of the problem, a continuous variable is introduced which is forced to take only discrete values by a penalty term. Finally, first simulation results underline the feasibility of this control approach.
Year
DOI
Venue
2013
10.1109/INDIN.2013.6622901
2013 11TH IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS (INDIN)
Keywords
Field
DocType
optimal control,energy recovery,predictive control,cost function,integer programming,mathematical model,kinetic energy,vehicle dynamics,force
Control theory,Optimal control,Control theory,Electric vehicle,Model predictive control,Vehicle dynamics,Control variable,System dynamics,State variable,Engineering
Conference
ISSN
Citations 
PageRank 
1935-4576
9
1.01
References 
Authors
1
4
Name
Order
Citations
PageRank
Tim Schwickart1181.77
Holger Voos211834.98
Jean-Regis Hadji-Minaglou3192.25
Mohamed Darouach426142.82