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Remaining Useful Life Prediction of a Lithium–Ion Battery Based on a Temporal Convolutional Network with Data Extension

Jing Zhao

Jing Zhao

  • Shenyang Institute of Automation, Chinese Academy of SciencesShenyang, China
  • Institute of Robotics and Intelligent Manufacturing, Chinese Academy of SciencesShenyang, China
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Zhao, Jing
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Dayong Liu

Dayong Liu

  • Shenyang Institute of Automation, Chinese Academy of SciencesShenyang, China
  • University of the Chinese Academy of SciencesBeijing, China
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Liu, Dayong
 and 
Lingshuai Meng

Lingshuai Meng

  • Shenyang Institute of Automation, Chinese Academy of SciencesShenyang, China
  • University of the Chinese Academy of SciencesBeijing, China
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Meng, Lingshuai
  
Mar 26, 2024
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Published Online: Mar 26, 2024
Page range: 105 - 117
Received: Mar 15, 2023
Accepted: Nov 13, 2023
DOI: https://doi.org/10.61822/amcs-2024-0008
Keywords
© 2024 Jing Zhao et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.
Language:
English
Publication timeframe:
4 times per year
Journal Subjects:
Mathematics, Applied Mathematics
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