Li, Zihan https://orcid.org/0009-0007-4620-5350
Li, Ai
Bai, Fang
Zuo, Hongfu
Zhang, Ying https://orcid.org/0000-0002-1091-2965
Funding for this research was provided by:
National Natural Science Foundation of China and Civil Aviation Joint Fund Key Funds (U1933202)
Article Title: Remaining useful life prediction of lithium battery based on ACNN-Mogrifier LSTM-MMD
Journal Title: Measurement Science and Technology
Article Type: paper
Copyright Information: © 2023 IOP Publishing Ltd. All rights, including for text and data mining, AI training, and similar technologies, are reserved.
Publication dates
Date Received: 2023-07-31
Date Accepted: 2023-10-05
Online publication date: 2023-10-13