A new data-driven diagnostic technique for in-situ capacity prediction of lithium-ion batteries-Reference-Cited by-同舟云学术

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A new data-driven diagnostic technique for in-situ capacity prediction of lithium-ion batteries

Published:2024-01 Issue: Volume:76 Page:109885
ISSN:2352-152X
Container-title:Journal of Energy Storage
language:en
Short-container-title:Journal of Energy Storage

Author:

Li Ling,Chen Xiaoping,Guo Dandan,Yuan Quan,Wang Qiying

Funder

Department of Education of Zhejiang Province

Publisher

Elsevier BV

Subject

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

Reference35 articles.

1. Safety issues and mechanisms of lithium-ion battery cell upon mechanical abusive loading: a review;Liu;Energy Storage Mater.,2020

2. Mechanics-driven anode material failure in battery safety and capacity deterioration issues: a review;Gao;Appl. Mech. Rev.,2022

3. Dynamic behavior and modeling of prismatic lithium-ion battery;Chen;Int. J. Energy Res.,2020

4. Understanding the degradation mechanisms of LiNi0.5Co0.2Mn0.3O2 cathode material in lithium ion batteries;Jung;Adv. Energy Mater.,2014

5. Optimal battery sizing in microgrids using probabilistic unit commitment;Khorramdel;IEEE Trans. Industr. Inform.,2015

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