Name: A Global Optimal Solution to the Eco-Driving Problem
Published: 2018-06-14-01-01
Keywords: Optimization, Automotive control, Roads, Vehicle dynamics, Energy management, Force, Optimal control, Linear programming

DatasetA Global Optimal Solution to the Eco-Driving Problem

►►►►► Link as https://doi.org/10.4121/uuid:9e24298e-6f39-4e6f-8ef0-f8d6effa029d | How to cite this dataset

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?title	A Global Optimal Solution to the Eco-Driving Problem
?creator	orcidPadilla Cazar, G.P. (Paul)
?creator	Weiland, S. (Siep)
?creator	orcidDonkers, M.C.F. (Tijs)
?contributor	Eindhoven University of Technology, Department of Electrical Engineering
?date accepted	2018-06-14
?date created	2018
?date published	2018-06-14
?description	Data and simulation files of the paper “A Global Optimal Solution to the Eco-Driving Problem” by G.P. Padilla, S. Weiland andd M.C.F. Donkers. Simulation files can be used using Matlab 2017a.
?funder	European Commission, Grant number: info:eu-repo/grantAgreement/EC/H2020/713771
?keyword	Automotive control ◊ Energy management ◊ Force ◊ Linear programming ◊ Optimal control ◊ Optimization ◊ Roads ◊ Vehicle dynamics
?language	en
?publisher	TU Eindhoven
? subject	0902 - Automotive Engineering
? subject	1204 - Engineering Design
? ▲ in collection	EVERLASTING: Electric Vehicle Enhanced Range, Lifetime And Safety Through INGenious battery management.
?related publication	https://doi.org/10.1109/LCSYS.2018.2846182
?licence	MIT License [ more info... ]

DATA

?Dataset files (3.7 KiB) >>download complete dataset (zip)|download separate files

+bag-info

contents of this dataset:

README.txt

mainA.m

mainB.m

parametersA.m

parametersB.m

problem_configA.m

problem_configB.m

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DatasetA Global Optimal Solution to the Eco-Driving Problem

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