State of charge estimation of lithium-ion batteries using hybrid autoencoder and Long Short Term Memory neural networks-Reference-Cited by-同舟云学术

State of charge estimation of lithium-ion batteries using hybrid autoencoder and Long Short Term Memory neural networks

Published:2020-09 Issue: Volume:469 Page:228375
ISSN:0378-7753
Container-title:Journal of Power Sources
language:en
Short-container-title:Journal of Power Sources

Author:

Fasahat Mohammad,Manthouri Mohammad

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Physical and Theoretical Chemistry,Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment

Reference33 articles.

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4. Robust state of charge estimation of lithium-ion batteries via an iterative learning observer;Li;SAE Technical,2012

5. Electrochemical model based observer design for a lithium-ion battery;Klein;IEEE Trans. Contr. Syst. Technol.,2012

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