State of charge estimation for lithium-ion battery based on Gaussian process regression with deep recurrent kernel
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Title
State of charge estimation for lithium-ion battery based on Gaussian process regression with deep recurrent kernel
Authors
Keywords
State of charge estimation, Lithium-ion battery, Gaussian process regression, Deep learning kernel, Gated recurrent unit, Neural networks
Journal
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
Volume 124, Issue -, Pages 106369
Publisher
Elsevier BV
Online
2020-07-20
DOI
10.1016/j.ijepes.2020.106369
References
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