A global optimal solution to the eco-driving problem

G.P. Padilla Cazar; S. Weiland; M.C.F. Donkers

doi:10.1109/LCSYS.2018.2846182

A global optimal solution to the eco-driving problem

G.P. Padilla Cazar, S. Weiland, M.C.F. Donkers

Research output: Contribution to journal › Article › Academic › peer-review

7 Citations (Scopus)

148 Downloads (Pure)

Abstract

Eco-driving aims at minimizing the energy consumption of a vehicle by adjusting the vehicle’s velocity. This can be formulated as an optimal control
problem and this letter provides a detailed view on the global optimal solution to this problem. A method to reformulate and discretize the problem avoiding the introduction of additional nonconvex terms is presented. Furthermore, physically realistic conditions are given that guarantee the existence of the global optimal solution to the eco-driving problem. Subsequently, a sequential quadratic programming algorithm is provided that allows finding the global optimal solution. Finally, two numerical examples are used to illustrate how solutions of the eco-driving problem can be obtained.

Original language	English
Pages (from-to)	599 - 604
Number of pages	6
Journal	IEEE Control Systems Letters
Volume	2
Issue number	4
DOIs	https://doi.org/10.1109/LCSYS.2018.2846182
Publication status	Published - Oct 2018

Keywords

Automotive control
Optimal control
Optimization
Eco-driving
energy management
optimization
optimal control

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Projects

1 Finished

EVERLASTING: Electric Vehicle Enhanced Range, Lifetime And Safety Through INGenious battery management

Hendrix, W. H. A., Weiland, S., Donkers, M. C. F. (., Donkers, M. C. F. (., Padilla Cazar, G. P. (. & Nawijn, H.

1/09/16 → 31/08/20

Project: Research direct

Cite this

Padilla Cazar, G. P., Weiland, S., & Donkers, M. C. F. (2018). A global optimal solution to the eco-driving problem. IEEE Control Systems Letters, 2(4), 599 - 604. https://doi.org/10.1109/LCSYS.2018.2846182

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