Work

A Hybrid Transformer-BiLSTM Model for Lithium-Ion Battery Health State Prediction

Year: 2025

Type: conference-paper

Source: International Conference on Mechatronics Technology and Intelligent Manufacturing (ICMTIM)

DOI: 10.1109/icmtim65484.2025.11040822

Authors: Long Chang, Xiangyu Zhao, Zhihao Yu, Jianchao Li

Institution: Shandong University of Science and Technology

Language: English

Topic: Advanced Battery Technologies Research

Subfield: Automotive Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: closed

Funders: National Natural Science Foundation of China, China Postdoctoral Science Foundation, Natural Science Foundation of Shandong Province

Awards: G2024827530, G5473879379, G6432132501

OpenAlex ID: W4411800134

FWCI:

Cites: 17

Cited by:

Related to: 10