Electric vehicle data acquisition system

Mathias Svendsen, Mads Winther-Jensen, Anders Bro Pedersen, Peter Bach Andersen, Thomas Meier Sørensen

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Abstract

A data acquisition system for electric vehicles is presented. The system connects to the On-board Diagnostic port of newer vehicles, and utilizes the in-vehicle sensor network, as well as auxiliary sensors, to gather data. Data is transmitted continuously to a central database for academic and industrial applications, e.g. research in electric vehicle driving patterns, vehicle substitutability analysis and fleet management. The platform is based on a embedded computer running Linux, and features a high level of modularity and flexibility. The system operates independently of the make of the car, by using the On-board Diagnostic port to identify car model and adapt its software accordingly. By utilizing on-board Global Navigation Satellite System, General Packet Radio Service, accelerometer, gyroscope and magnetometer, the system not only provides valuable data for research in the field of electric vehicles, but also allows for experiments and investigation of other related topics.
Original languageEnglish
Title of host publicationProceedings of 2014 IEEE International Electric Vehicle Conference
PublisherIEEE
Publication date2014
Pages1-7
ISBN (Print)9781479960750
DOIs
Publication statusPublished - 2014
Event2014 IEEE International Electric Vehicle Conference - Florence, Italy
Duration: 17 Dec 201419 Dec 2014

Conference

Conference2014 IEEE International Electric Vehicle Conference
CountryItaly
CityFlorence
Period17/12/201419/12/2014

Keywords

  • Communication, Networking and Broadcast Technologies
  • Components, Circuits, Devices and Systems
  • Computing and Processing
  • Fields, Waves and Electromagnetics
  • Power, Energy and Industry Applications
  • Transportation

Cite this

Svendsen, M., Winther-Jensen, M., Pedersen, A. B., Andersen, P. B., & Sørensen, T. M. (2014). Electric vehicle data acquisition system. In Proceedings of 2014 IEEE International Electric Vehicle Conference (pp. 1-7). IEEE. https://doi.org/10.1109/IEVC.2014.7056140