Deep neural network battery impedance spectra prediction by only using constant-current curve-Reference-Cited by-同舟云学术

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Deep neural network battery impedance spectra prediction by only using constant-current curve

Published:2021-10 Issue: Volume:41 Page:24-31
ISSN:2405-8297
Container-title:Energy Storage Materials
language:en
Short-container-title:Energy Storage Materials

Author:

Duan Yanzhou,Tian Jinpeng,Lu Jiahuan,Wang Chenxu,Shen Weixiang,Xiong Rui

Funder

National Natural Science Foundation of China

Beijing Institute of Technology

Publisher

Elsevier BV

Subject

Energy Engineering and Power Technology,General Materials Science,Renewable Energy, Sustainability and the Environment

Reference39 articles.

1. Designed high-performance lithium-ion battery electrodes using a novel hybrid model-data driven approach;Gao;Energy Storage Mater.,2021

2. A review of modeling, acquisition, and application of lithium-ion battery impedance for onboard battery management;Wang;ETransportation,2021

3. Impedance change and capacity fade of lithium nickel manganese cobalt oxide-based batteries during calendar aging;Schmitt;J. Power Sources.,2017

4. Online measurement of battery impedance using motor controller excitation;Howey;IEEE Trans. Veh. Technol.,2014

5. Impedance-based diagnosis of lithium ion batteries: identification of physical parameters using multi-output relevance vector regression;Zhou;J. Energy Storage.,2020

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