A deep learning approach to state of charge estimation of lithium-ion batteries based on dual-stage attention mechanism

Title
A deep learning approach to state of charge estimation of lithium-ion batteries based on dual-stage attention mechanism
Authors
Keywords
State of charge, Dual-stage attention mechanism, Lithium-ion battery, Gate recurrent unit, Public datasets
Journal
ENERGY
Volume 244, Issue -, Pages 123233
Publisher
Elsevier BV
Online
2022-01-18
DOI
10.1016/j.energy.2022.123233

Ask authors/readers for more resources

Reprint

Contact the author

Find Funding. Review Successful Grants.

Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.

Explore

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search