State of health prediction of lithium-ion batteries based on the HHO-BiLSTM-Attention model

Shuangxi He; Xiaomin Wang; Kun Li; Wenjun Du; Yidan Wang; Weili Wu

doi:10.54254/2977-3903/2026.38492

Article Information

Received: 10 October 2026

Published: 30 October 2026

DOI: https://doi.org/10.54254/2977-3903/2026.38492

Article Type: Research Article

Cite this article

He,S.;Wang,X.;Li,K.;Du,W.;Wang,Y.;Wu,W. (2026). State of health prediction of lithium-ion batteries based on the HHO-BiLSTM-Attention model. Advances in Engineering Innovation,17(11),58-69.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About this Journal

Journal: Advances in Engineering Innovation

Volume: Vol.17, Issue 11

ISSN: 2977-3903 (Print) / 2977-3911 (Online)

Copyright & License

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