State of health estimation for lithium ion batteries based on charging curves-Reference-Cited by-同舟云学术

State of health estimation for lithium ion batteries based on charging curves

Published:2014-03 Issue: Volume:249 Page:457-462
ISSN:0378-7753
Container-title:Journal of Power Sources
language:en
Short-container-title:Journal of Power Sources

Author:

Guo Zhen,Qiu Xinping,Hou Guangdong,Liaw Bor Yann,Zhang Changshui

Funder

Tsinghua National Laboratory for Information Science and Technology

Publisher

Elsevier BV

Subject

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

Reference14 articles.

1. Advanced mathematical methods of SOC and SOH estimation for lithium-ion batteries

2. Intelligent prognostics for battery health monitoring based on sample entropy

3. Estimation of Battery State of Health Using Probabilistic Neural Network

4. Behavior and state-of-health monitoring of Li-ion batteries using impedance spectroscopy and recurrent neural networks

5. IEEE 7th International Power Electronics and Motion Control Conference, Harbin, China;Lin,2012

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