@inproceedings{47e593bb86ce49ecb1550f1fb1f839bf,
title = "Impact Evaluation of Driving Style on Electric Vehicle Battery based on Field Testing Result",
abstract = "Monitoring electric vehicles' battery status and forecasting their state of health is still an open challenge. To determine how and why a battery degrades over time, we have extensively monitored a Nissan Leaf's battery pack for more than one year. Collecting more than 4.5 million samples via a custom monitoring connected device to investigate how different driving behaviors affect battery aging. In addition, the best driving behaviors based on the battery's optimal temperature are revealed, including speed, acceleration and brake pedal pressure, and horsepower.",
keywords = "Battery Aging, Driving Behaviour, Electric Vehicle, Lithium Battery, SOH",
author = "Chou, \{Ka Seng\} and Davide Aguiari and Rita Tse and Tang, \{Su Kit\} and Giovanni Pau",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 20th IEEE Consumer Communications and Networking Conference, CCNC 2023 ; Conference date: 08-01-2023 Through 11-01-2023",
year = "2023",
doi = "10.1109/CCNC51644.2023.10060822",
language = "English",
series = "Proceedings - IEEE Consumer Communications and Networking Conference, CCNC",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1143--1146",
booktitle = "2023 IEEE 20th Consumer Communications and Networking Conference, CCNC 2023",
address = "United States",
}