@inproceedings{00a21d3584a04e67ba95bfd38edeccb8,
title = "The Evaluation Index System of Power Battery Safety Performance Based on AHP",
abstract = "Based on the Analytic Hierarchy Process (AHP) method, the power battery safety performance evaluation index system is established. The thermal performance, electrical performance and mechanical performance of the first criterion layer are the most important factors which seriously affect the safety performance of power batteries. The sum of their weight coefficients reached 86.08\%. In the secondary index layer, the weight coefficient of temperature resistance reached 13.11\%, which was only lower than 18.69\% of battery capacity and power. At the same time, the anti-vibration performance and waterproof performance are not negligible, and their weight coefficients have both reached 10.49\%. This work has a certain guiding significance for the safety performance evaluation of power batteries.",
keywords = "Power battery, evaluation index, safety performance",
author = "Chao Feng and Aihua Wu and Xiangyi Luo and Xikui Zhang and Xiaoqian Ma and Zhaosheng Yu",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 International Conference on Data Analytics, Computing and Artificial Intelligence, ICDACAI 2022 ; Conference date: 15-08-2022 Through 16-08-2022",
year = "2022",
doi = "10.1109/ICDACAI57211.2022.00068",
language = "English",
series = "Proceedings - 2022 International Conference on Data Analytics, Computing and Artificial Intelligence, ICDACAI 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "316--320",
booktitle = "Proceedings - 2022 International Conference on Data Analytics, Computing and Artificial Intelligence, ICDACAI 2022",
address = "United States",
}