Contactless Li-ion battery voltage detection by using Walabot and machine learning

Yanan Wang, Haoyu Niu, Tiebiao Zhao, Xiaozhong Liao, Lei Dong, Yangquan Chen*

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

8 引用 (Scopus)

摘要

This paper has proposed a contactless voltage classification method for Lithium-ion batteries (LIBs). With a three-dimensional radio-frequency based sensor called Walabot, voltage data of LIBs can be collected in a contactless way. Then three machine learning algorithm, that is, principal component analysis (PCA), linear discriminant analysis (LDA), and stochastic gradient descent (SGD) classifiers, have been employed for data processing. Experiments and comparison have been conducted to verify the proposed method. The colormaps of results and prediction accuracy show that LDA may be most suitable for LIBs voltage classification.

源语言英语
主期刊名15th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications
出版商American Society of Mechanical Engineers (ASME)
ISBN(电子版)9780791859292
DOI
出版状态已出版 - 2019
活动ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC-CIE 2019 - Anaheim, 美国
期限: 18 8月 201921 8月 2019

出版系列

姓名Proceedings of the ASME Design Engineering Technical Conference
9

会议

会议ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC-CIE 2019
国家/地区美国
Anaheim
时期18/08/1921/08/19

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