Abstract

International audience; This paper presents a novel energy-efficient model-predictive cruise control formulation for electric vehicles. 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. 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 map is approximated by the maximum of a set of linear functions which is implicitly determined in 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.


Original document

The different versions of the original document can be found in:

http://dx.doi.org/10.1109/cca.2014.6981408
https://orbilu.uni.lu/bitstream/10993/18824/1/root_revised_new.pdf,
https://orbilu.uni.lu/handle/10993/18824,
https://publications.uni.lu/handle/10993/18824,
https://academic.microsoft.com/#/detail/2054721087
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Published on 01/01/2014

Volume 2014, 2014
DOI: 10.1109/cca.2014.6981408
Licence: CC BY-NC-SA license

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