SoftwareApplication
identifier: 10.4121/12764732
name: TU/e Microscopic Energy Consumption PRediction tOol 0.1 (TU/e MECPRO 0.1)
description: TU/e Microscopic Energy Consumption PRediction tOol 0.1 (TU/e MECPRO 0.1)
description: The files contained within this dataset describe a simulation tool that predicts the energy consumption of a battery electric vehicle. The tool is written in MATLAB-code and is connected to various API's to make use of up-to-date route information (Overpass OpenStreetMap API), height information (SRTM elevation map), and weather information (OpenWeatherMap API). The prediction method relies on a physics-based interpretation of the energy consumption of the vehicle. Both the velocity profile prediction algorithm and the subsequent energy consumption model are based on data obtained from dedicated vehicle tests. In the supplied version of this tool, the parameters represent the Voltia eVan, which is a fully electric delivery van with a swappable traction battery. The tool was developed within the Dynamics & Control research-group at Eindhoven University of Technology. This project has received funding from the European Unions Horizon 2020 research and innovation programme under grant agreement No. 713771 (EVERLASTING). Version: 0.1.3 Date: 2021-08-23 Change Log Version 0.1.3------------------------ - Updated 'readhght' from François Beauducel, which again omits the use of the NASA/EarthDATA account that was introduced in the previous version. SRTM elevation data can now again be obtained without account. Change Log Version 0.1.2 ------------------------ - Changed the inputs to 'readhght' to use the NASA/EarthDATA server, because the original server hosting the SRTM DEM appears to be off-line. This new server requires a NASA/EarthDATA account. If road slope is to be included, 'settings.includeSlope' (l. 76, TUe_MECPRO.m) should be set to 'true' and NASA/EarthDATA account credentials should be entered in 'NASA_Earthdata_Login.txt'. - Corrected an error in velocityProfilePredicion.m where the prescribed maximum vehicle velocity was wrongly considered to be [m/s] instead of [km/h]. - Corrected an error in processOSMmap.m that resulted in the incorrect registration of the …
author: https://orcid.org/0000-0002-3383-1092
author: Person
  family name: Tim A.G.H. Geraedts
  name: Tim A.G.H. Geraedts
author: https://orcid.org/0000-0001-7976-6700
author: https://orcid.org/0000-0001-5883-6191
keywords: Battery Electric Vehicle
keywords: Electric Vehicle (EV)
keywords: Energy consumption
keywords: Ground Transport
keywords: Automotive Engineering
keywords: Environmentally Sustainable Transport
license:
  creative work: creativeWork
    name: BSD-3-Clause
reference publication: zenodo.4023302

https://orcid.org/0000-0002-3383-1092
type: Person
given name: Camiel
family name: Beckers
name: Camiel Beckers

https://orcid.org/0000-0001-7976-6700
type: Person
given name: I.J.M. (Igo)
family name: Besselink
name: I.J.M. (Igo) Besselink

https://orcid.org/0000-0001-5883-6191
type: Person
given name: H. (Henk)
family name: Nijmeijer
name: H. (Henk) Nijmeijer

zenodo.4023302
type: ScholarlyArticle
name: A Microscopic Energy Consumption Prediction Tool for Fully Electric Delivery Vans
url: https://doi.org/10.5281%2Fzenodo.4023302