A novel lithium-ion battery state-of-health estimation method for fast-charging scenarios based on an improved multi-feature extraction and bagging temporal attention network-Reference-Cited by-同舟云学术

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A novel lithium-ion battery state-of-health estimation method for fast-charging scenarios based on an improved multi-feature extraction and bagging temporal attention network

Published:2024-10 Issue: Volume:99 Page:113396
ISSN:2352-152X
Container-title:Journal of Energy Storage
language:en
Short-container-title:Journal of Energy Storage

Author:

Fan Yuqian,Li Yi,Zhao Jifei,Wang Linbing,Yan Chong,Wu Xiaoying,Wang Jianping,Gao Guohong,Ren Zhiwei,Li Shiyong,Wei Liangliang,Tan Xiaojun

Funder

Key Scientific Research Project of Colleges and Universities in Henan Province

Special Project for Research and Development in Key Areas of Guangdong Province

Science and Technology Planning Project of Shenzhen Municipality

Publisher

Elsevier BV

Reference30 articles.

1. Numerical investigation of the direct liquid cooling of a fast-charging lithium-ion battery pack in hydrofluoroether;Tan;Appl. Therm. Eng.,2021

2. A novel state-of-health estimation method for fast charging lithium-ion batteries based on an adversarial encoder network;Fan;J. Energy Storage,2023

3. Understanding the combustion characteristics and establishing a safety evaluation technique based on the overcharged thermal runaway of lithium-ion batteries;Bi;J. Energy Storage,2023

4. A comprehensive review on the recycling of spent lithium-ion batteries: urgent status and technology advances;Jin;J. Clean. Prod.,2022

5. A thermodynamic approach for characterizing the degradation of Li-ion batteries;Lijesh;J. Energy Storage,2024

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