The EVE Pilot: Usage Data from an Electric Car in France

DOI

This dataset contains the usage data of a single electric car collected in as part of the EVE study (Enquête des Vehicles Electrique) run by the Observatoire du Transition Energétique Grenoble (OTE-UGA).
This dataset includes the following variables for a single Renault ZOE 2014 Q90: - Speed, distance covered, and other drivetrain data variables;
- State of charge, State of health and other battery characteristics; as well as
- external temperature variables.

The Renault ZOE 2014 Q90 has a battery capacity of 22 KWh and a maximum speed of 135 KM/h. More information about on the specifications can be found here

The electric car is used for personal use exclusively including occasional transit to work but mostly for personal errands and trips.

The dataset was collected using a CanZE app and a generic car lighter dongle.

The dataset spans three years from October 2020 to October 2023.

A simple Python notebook that visualises the datasets can be found here. More complex use-cases for the datasets can be found in the following links: - Comparison of the carbon footprint of driving across countries: link - Feedback indicators of electric car charging behaviours: link

There is also more information on the collection process and other potential uses in the data paper here.

Please don't hesitate to contact the authors if you have any further questions about the dataset.

Identifier
DOI https://doi.org/10.57745/5O6QIH
Metadata Access https://entrepot.recherche.data.gouv.fr/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.57745/5O6QIH
Provenance
Creator Osonuga, Seun; Wurtz, Frederic; Delinchant, Benoit
Publisher Recherche Data Gouv
Contributor Osonuga,Seun; Laboratoire de Génie Electrique de Grenoble; Entrepôt-Catalogue Recherche Data Gouv
Publication Year 2023
Rights etalab 2.0; info:eu-repo/semantics/openAccess; https://spdx.org/licenses/etalab-2.0.html
OpenAccess true
Contact Osonuga,Seun (G2Elab ; UGA, CNRS, Grenoble INP ; France)
Representation
Resource Type Dataset
Format text/tab-separated-values
Size 6783633; 928084; 138083; 730798; 730830; 730609; 688897; 731033; 730937; 730782; 730795; 688723; 730804; 730910; 689047; 916058; 83727; 121131282; 47356859; 48300540; 228028; 262916; 46903; 42012; 340525; 1118261; 1202447; 1108919; 1129637; 1161199; 1125642; 1146205; 1121371; 1149798; 1086194; 1086235; 1085927; 1086593; 1086583; 1086457; 1086283; 1086247; 1085841; 1086126; 1086387; 1086313; 42311104; 650291; 74419624; 6244093; 643441; 44905374; 3689196
Version 2.3
Discipline Computer Science; Engineering Sciences; Construction Engineering and Architecture; Engineering
Spatial Coverage France