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Deep Learning-Enabled Fault Diagnosis of Lithium-Ion Batteries Using Real-World Vehicle Data With Gramian Angular Difference Fields

Year: 2025

Type: article

Source: IEEE Transactions on Industrial Informatics

DOI: 10.1109/tii.2025.3556068

Authors: Ling Xie, Jingwen Wei, Xiaoke Li, Chunlin Chen, Haonan Chen, Guangzhong Dong

Institutions: Nanjing University, Harbin Institute of 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

Funder: National Natural Science Foundation of China

Award: G2805637036

OpenAlex ID: W4409473623

FWCI: 4.469

Cites: 37

Cited by: 18

Related to: 10