SOC estimation of Li-ion battery using convolutional neural network with U-Net architecture-Reference-Cited by-同舟云学术

SOC estimation of Li-ion battery using convolutional neural network with U-Net architecture

Published:2022-10 Issue: Volume:256 Page:124612
ISSN:0360-5442
Container-title:Energy
language:en
Short-container-title:Energy

Author:

Fan Xinyuan^ORCID,Zhang Weige^ORCID,Zhang Caiping,Chen Anci,An Fulai^ORCID

Funder

National Natural Science Foundation of China

Natural Science Foundation of Beijing Municipality

Publisher

Elsevier BV

Subject

General Energy,Pollution,Mechanical Engineering,Building and Construction,Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Civil and Structural Engineering

Reference44 articles.

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2. State of energy estimation for lithium-ion battery pack via prediction in electric vehicle applications;An;IEEE Trans Veh Technol,2022

3. Overview of lithium-ion battery modeling methods for state-of-charge estimation in electrical vehicles;Meng;Appl Sci,2018

4. Adaptive battery state-of-charge estimation method for electric vehicle battery management system;Kim,2020

5. Review of battery management systems (bms) development and industrial standards;Gabbar;Technologies,2021

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