A novel state of health estimation method for lithium-ion battery pack based on cross generative adversarial networks-Reference-Cited by-同舟云学术

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A novel state of health estimation method for lithium-ion battery pack based on cross generative adversarial networks

Published:2025-01 Issue: Volume:377 Page:124385
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Ren Yi,Tang Ting,Jiang Fusheng,Xia Quan,Zhu Xiayu,Sun Bo,Yang Dezhen,Feng Qiang,Qian Cheng

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

Elsevier BV

Reference43 articles.

1. A robust numerical treatment of solid-phase diffusion in pseudo two-dimensional lithium-ion battery models;Kim;J Power Sources,2023

2. Development of a calibration methodology for fitting the response of a lithium-ion cell P2D model using real driving cycles;García;Energy,2023

3. A novel pseudo-open-circuit voltage modeling method for accurate state-of-charge estimation of LiFePO4 batteries;Zhang;Appl Energy,2023

4. BattX: an equivalent circuit model for lithium-ion batteries over broad current ranges;Biju;Appl Energy,2023

5. Remaining useful life prediction of lithium-ion battery using an improved UPF method based on MCMC;Zhang;Microelectron Reliab,2017

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