Monitoring Electric Vehicles on The Go

Davide Aguiari, Ka Seng Chou, Rita Tse, Giovanni Pau

Research output: Contribution to journalConference articlepeer-review

6 Citations (Scopus)

Abstract

Electric vehicles (EV) feature detailed monitoring and control over the CAN bus. Some of this data is made available to users on the On-Board Diagnostic version II (OBDII) bus thus providing an opportunity for large scale high-frequency data collection. This paper introduces a connected monitoring system for OBDII equipped vehicles. The system comprises a low cost hardware design and monitoring algorithms designed to optimize the number of variables collected and their collection frequency. The algorithm aims at collecting a high quantity of Battery Management System (BMS) data in electric vehicles together with power-usage data to enable short and long term estimation for battery state of health (SOH) and state of charge (SOC). The proposed system has been implemented and tested on a Nissan Leaf and lead to the acquisition of 1.7 million records over 120 hours of driving.

Original languageEnglish
Pages (from-to)885-888
Number of pages4
JournalProceedings - IEEE Consumer Communications and Networking Conference, CCNC
DOIs
Publication statusPublished - 2022
Event19th IEEE Annual Consumer Communications and Networking Conference, CCNC 2022 - Virtual, Online, United States
Duration: 8 Jan 202211 Jan 2022

Keywords

  • 4G
  • Electric Vehicles
  • OBDII
  • SOC
  • SOH

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