A new neural network model for the state-of-charge estimation in the battery degradation process-Reference-Cited by-同舟云学术

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A new neural network model for the state-of-charge estimation in the battery degradation process

Published:2014-05 Issue: Volume:121 Page:20-27
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Kang LiuWang,Zhao Xuan,Ma Jian

Funder

Science and Technology Research Project of Shaanxi Province

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction

Reference29 articles.

1. Enhanced coulomb counting method for estimating state-of-charge and state-of-health of lithium-ion batteries;Ng;Appl Energy,2009

2. Methods for state-of-charge determination and their applications;Piller;J Power Sources,2001

3. State-of-the-art of battery state-of-charge determination;Pop;Meas Sci Technol,2005

4. State of charge estimation of lithium-ion batteries using the open-circuit voltage at various ambient temperatures;Xing;Appl Energy,2014

5. Online estimation of internal resistance and open-circuit voltage of lithium-ion batteries in electric vehicles;Chiang;J Power Sources,2011

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