Work

State of charge estimation of lithium-ion batteries based on PSO-TCN-Attention neural network

Year: 2024

Type: article

Source: Journal of Energy Storage

DOI: 10.1016/j.est.2024.110806

Authors: Feng Li, Wei Zuo, Kun Zhou, Qingqing Li, Yuhan Huang

Institutions: Wuhan University of Science and Technology, State Key Laboratory of Refractories and Metallurgy, University of Technology Sydney, University of Oxford

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: Natural Science Foundation of Hubei Province, China Scholarship Council, Australian Research Council, National Natural Science Foundation of China-Henan Joint Fund

Awards: G6511370445, Improving pollutants dispersion in street canyons for better urban living, G8660780839, G8918944568

OpenAlex ID: W4391686575

FWCI: 14.67

Cites: 53

Cited by: 136

Related to: 10