Title
A novel model-predictive cruise controller for electric vehicles and energy-efficient driving
Abstract
This paper presents a novel energy-efficient model-predictive cruise control formulation for electric vehicles. 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. In this work, a coordinate transformation is used which leads to a linear differential motion equation without loss of information. The energy consumption is modeled by the maximum of a set of linear functions which is determined implicitly by the optimisation problem and thus leads to a piecewise linear model. The reformulations finally result in 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. The controller and the underlying dynamic model are designed to meet the properties of a series-production electric vehicle whose characteristics are identified by measurements. Simulation results of the MPC controller and the simulation model in closed-loop operation finally provide a proof of concept.
Year
DOI
Venue
2014
10.1109/AIM.2014.6878222
AIM
Keywords
Field
DocType
closed loop systems,electric vehicles,energy conservation,minimisation,nonlinear differential equations,piecewise linear techniques,predictive control,velocity control,mpc controller,closed-loop operation,coordinate transformation,driving speed,energy consumption,energy-efficient driving,linear constraints,linear differential motion equation,linear functions,linear prediction model,model-predictive control approach,model-predictive cruise controller,optimisation problem,piecewise linear model,piecewise linear system behaviour,predictive eco-cruise controller,quadratic cost function,series-production electric vehicle,simulation model,mathematical model,force,optimization,vehicle dynamics,kinetic energy
Control theory,Mathematical optimization,Optimal control,Linear system,Control theory,Computer science,Model predictive control,Control engineering,Energy-efficient driving,Linear function,Energy consumption,Piecewise linear function
Conference
ISSN
Citations 
PageRank 
2159-6255
1
0.36
References 
Authors
3
4
Name
Order
Citations
PageRank
Schwickart, T.110.36
Holger Voos211834.98
Hadji-Minaglou, J.-R.310.36
Mohamed Darouach426142.82