Integrating mechanism and machine learning based capacity estimation for LiFePO4 batteries under slight overcharge cycling
Author:
Funder
Shanxi Provincial Key Research and Development Project
National Natural Science Foundation of China
Shaanxi Province Key Research and Development Projects
Publisher
Elsevier BV
Reference45 articles.
1. Data-driven capacity estimation of commercial lithium-ion batteries from voltage relaxation;Zhu;Nat Commun,2022
2. Battery monitoring and prognostics optimization techniques: challenges and opportunities;Semeraro;Energy,2022
3. Accurate residual capacity estimation of retired LiFePO4 batteries based on mechanism and data-driven model;Ni;Appl Energy,2022
4. Lithium-ion battery aging mechanisms and diagnosis method for automotive applications: recent advances and perspectives;Xiong;Renew Sustain Energy Rev,2020
5. Improved anti-noise adaptive long short-term memory neural network modeling for the robust remaining useful life prediction of lithium-ion batteries;Wang;Reliab Eng Syst Saf,2023
Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. State of charge estimation for lithium-ion batteries based on gate recurrent unit and unscented Kalman filtering;Ionics;2024-09-10
2. Advanced data-driven techniques in AI for predicting lithium-ion battery remaining useful life: a comprehensive review;Green Chemical Engineering;2024-09
3. Utilizing multilayer perceptron for machine learning diagnosis in phase change material‐based thermal management systems;Heat Transfer;2024-08-27
4. A hybrid algorithm for the state of energy estimation of lithium-ion batteries based on improved adaptive-forgotten-factor recursive least squares and particle swarm optimized unscented particle filtering;Ionics;2024-07-20
5. Joint prediction of state of health and remaining useful life for lithium-ion batteries based on health features optimization and multi-model fusion;Ionics;2024-07-19
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