@inproceedings{dd9b44fba980492580691d782c3dc65e,
title = "State of Safety Assessment in Electric Vehicle Battery Packs",
abstract = "Ensuring safety and guiding first responders in risk mitigation decisions necessitates an accurate evaluation of the State of Safety (SoS) for a damaged electric vehicle (EV). This paper introduces a method for rapidly and precisely assessing the SoS of lithium-ion battery packs that may have been damaged in an accident. Mean-based voltage and temperature residuals are produced for cell groups and deviations are calculated and statistically evaluated. Synthetic anomalous data is generated by injecting model-based anomalies into experimental data to simulate EV accident scenarios. The proposed post-crash safety assessment algorithm is accurate with a low false positive and false negative rates.",
author = "Jihoon Moon and Geetika Vennam and Tanvir, {Tanim R.} and Rahn, {Christopher D.}",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 2024 IEEE Vehicle Power and Propulsion Conference, VPPC 2024 ; Conference date: 07-10-2024 Through 10-10-2024",
year = "2024",
doi = "10.1109/VPPC63154.2024.10755349",
language = "English (US)",
series = "2024 IEEE Vehicle Power and Propulsion Conference, VPPC 2024 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2024 IEEE Vehicle Power and Propulsion Conference, VPPC 2024 - Proceedings",
address = "United States",
}