Monitoring Electric Vehicles on The Go

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

研究成果: Conference article同行評審

10 引文 斯高帕斯(Scopus)

摘要

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.

原文English
頁(從 - 到)885-888
頁數4
期刊Proceedings - IEEE Consumer Communications and Networking Conference, CCNC
DOIs
出版狀態Published - 2022
事件19th IEEE Annual Consumer Communications and Networking Conference, CCNC 2022 - Virtual, Online, United States
持續時間: 8 1月 202211 1月 2022

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