Work

Hierarchical Stochastic Spatial–Temporal Transformer for Trustworthy State-of-Health Estimation of Batteries in Industrial Applications

Year: 2025

Type: article

Source: IEEE Transactions on Industrial Informatics

DOI: 10.1109/tii.2025.3594054

Authors: Xinhui Lin, Yuanguo Bi, Rao Fu, Xiaoling Zhang, Liang Zhao, Ammar Hawbani, Zhenyu Yin

Institutions: Northeastern University, Shenyang University of Technology, Shenyang Aerospace University, Chinese Academy of Sciences, Shenyang Institute of Computing Technology (China)

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, Fundamental Research Funds for the Central Universities

Awards: G6057092687, G6074469635

OpenAlex ID: W4413277188

FWCI: 0.987

Cites: 38

Cited by: 4

Related to: 10