State of charge estimation for lithium-ion batteries based on gate recurrent unit and unscented Kalman filtering-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

State of charge estimation for lithium-ion batteries based on gate recurrent unit and unscented Kalman filtering

Published:2024-09-10 Issue: Volume: Page:
ISSN:0947-7047
Container-title:Ionics
language:en
Short-container-title:Ionics

Author:

Zhang Chuanwei,Wang Ting,Wei Meng,Qiao Lin,Lian Gaoqi

Funder

the National Natural Science Foundation of China

The Shaanxi Innovation Talent Promotion Plan - Science and technology innovation team

Fundamental Research Funds for the Central Universities

China Postdoctoral Science Foundation

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11581-024-05811-y.pdf

Reference38 articles.

1. Wang Y, Zhang X, Chen Z (2022) Low temperature preheating techniques for lithium-ion batteries: recent advances and future challenges. Appl Energy 313:118832. https://doi.org/10.1016/j.apenergy.2022.118832

2. El Din MS, Hussein AA, Abdel-hafez MF (2018) Improved battery SOC estimation accuracy using a modified UKF with an adaptive cell model under real EV operating conditions. IEEE Trans Transp Electrific 4(2):408–417. https://doi.org/10.1109/TTE.2018.2802043

3. Wei M, Ye M, Zhang C et al (2024) Integrating mechanism and machine learning based capacity estimation for LiFePO4 batteries under slight overcharge cycling. Energy 296:131208. https://doi.org/10.1016/j.energy.2024.131208

4. Liu Y, He Y, Bian H et al (2022) A review of lithium-ion battery state of charge estimation based on deep learning: directions for improvement and future trends. J Energy Storage 52:104664. https://doi.org/10.1016/j.est.2022.104664

5. Ghaeminezhad N, Ouyang Q, Wei J et al (2023) Review on state of charge estimation techniques of lithium-ion batteries: a control-oriented approach. J Energy Storage 72:108707. https://doi.org/10.1016/j.est.2023.108707

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3