Long-Term Battery Voltage, Power, and Surface Temperature Prediction Using a Model-Based Extreme Learning Machine-Reference-Cited by-同舟云学术

Long-Term Battery Voltage, Power, and Surface Temperature Prediction Using a Model-Based Extreme Learning Machine

Published:2018-01-03 Issue:1 Volume:11 Page:86
ISSN:1996-1073
Container-title:Energies
language:en
Short-container-title:Energies

Author:

Tang Xiaopeng,Yao Ke,Liu Boyang,Hu Wengui,Gao Furong

Funder

National Natural Science Foundation of China

Publisher

MDPI AG

Subject

Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous)

Link

http://www.mdpi.com/1996-1073/11/1/86/pdf

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5. A lithium-ion battery-in-the-loop approach to test and validate multi-scale dual H infinity filters for state of charge and capacity estimation;Chen;IEEE Trans. Power Electron.,2018

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