State of health estimation of lithium-ion batteries based on multi-feature extraction and temporal convolutional network

Author:

Liu Suzhen,Chen Ziqian,Yuan Luhang,Xu Zhicheng,Jin Liang,Zhang Chuang

Publisher

Elsevier BV

Subject

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

Reference40 articles.

1. Optimal discretization approach to the enhanced single-particle model for li-ion batteries;Oyewole;J. IEEE Transactions on Transportation Electrification,2020

2. Review of aging mechanism and comprehensive use of Li-ion battery;Liu;J. Battery,2022

3. State of health estimation of Li-ion battery based on improved model;Chang;J. Battery,2022

4. State of health estimation for lithium-ion batteries based on healthy features and long short-term memory;Wu;J. IEEE Access,2020

5. Online joint estimator of key states for battery based on a new equivalent circuit model;Liu;Journal of Energy Storage,2022

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