Co-estimation of maximum available capacity and state-of-charge for lithium-ion batteries in multi-operating mode with temperature and degradation state adaptivity

Author:

Huang Kai,Lv Ziteng,Yao Kaixin,Guo YongfangORCID

Funder

Hebei Province Department of Science And Technology

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference56 articles.

1. A critical review of improved deep convolutional neural network for multi-timescale state prediction of lithium-ion batteries;Wang;Energies,2022

2. A rapid detection method for the battery state of health;Ning;Measurement,2022

3. Data-driven state of health estimation in retired battery based on low and medium-frequency electrochemical impedance spectroscopy;Zhang;Measurement,2023

4. Multi sensor fusion methods for state of charge estimation of smart lithium-ion batteries;Mao;J. Storage Mater.,2023

5. Online state-of-charge estimation refining method for battery energy storage system using historical operating data;Xiao;J. Storage Mater.,2023

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