An RUL prediction approach for lithium-ion batteries based on FIG and SVM with multi-kernel-Reference-Cited by-同舟云学术

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An RUL prediction approach for lithium-ion batteries based on FIG and SVM with multi-kernel

Published:2022-04 Issue: Volume: Page:
ISSN:
Container-title:2022 7th Asia Conference on Power and Electrical Engineering (ACPEE)
language:
Short-container-title:

Author:

Li Yuxing¹,Song Lei²,Yi Rongqing³,Su Junyi⁴,Gao Xuefeng⁵,Du Jingcai⁶

Affiliation:

1. Economic and Technological Research Institute of State Grid Jilin Electric Power Co., Ltd,Charging and Switching Research Center,Changchun,China

2. Jilin Electric Power Co., Ltd,Economic and Technological Research Institute of State Grid,Changchun,China

3. State Grid Jilin Electric Power Co., Ltd,Marketing Department,Changchun,China

4. Hefei University of Technology,School of Software Engineering,Hefei,China

5. Economic and Technological Research Institute of State Grid Jilin Electric Power Co., Ltd,Automobile Charging and Replacing Research Center,Changchun,China

6. Beijing Jiaotong University,School of Electrical Engineering,Beijing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9783222/9783223/09783744.pdf?arnumber=9783744

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Lithium-ion battery RUL prediction using ANN and comparison to alternative models;2022 IEEE North Karnataka Subsection Flagship International Conference (NKCon);2022-11-20

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