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CORRECTION article

Front. Electron., 27 October 2025

Sec. Power Electronics

Volume 6 - 2025 | https://doi.org/10.3389/felec.2025.1693752

Correction: A hybrid LSTM–transformer model for accurate remaining useful life prediction of lithium-ion batteries

Tianren ZhaoTianren Zhao1Yanhui Zhang
Yanhui Zhang1*Minghao WangMinghao Wang2Wei FengWei Feng1Shengxian CaoShengxian Cao3Gong WangGong Wang3
  • 1Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
  • 2University of Macau, Taipa, Macao SAR, China
  • 3Northeast Electric Power University, Jilin, China

A Correction on
A hybrid LSTM-transformer model for accurate

by Zhao T, Zhang Y, Wang M, Feng W, Cao S and Wang G (2025). Front. Electron. 6:1654344. doi: 10.3389/felec.2025.1654344

The Title of this article was erroneously given as: “A hybrid LSTM-transformer model for accurate”. The correct title of the article is “A hybrid LSTM–transformer model for accurate remaining useful life prediction of lithium-ion batteries”.

The original article has been updated

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Keywords: lithium-ion battery, remaining useful life, LSTM, transformer, time-series prediction

Citation: Zhao T, Zhang Y, Wang M, Feng W, Cao S and Wang G (2025) Correction: A hybrid LSTM–transformer model for accurate remaining useful life prediction of lithium-ion batteries. Front. Electron. 6:1693752. doi: 10.3389/felec.2025.1693752

Received: 27 August 2025; Accepted: 13 October 2025;
Published: 27 October 2025.

Approved by:

Frontiers Editorial Office, Frontiers Media SA, Switzerland

Copyright © 2025 Zhao, Zhang, Wang, Feng, Cao and Wang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Yanhui Zhang, emhhbmd5aEBzaWF0LmFjLmNu

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.