Remaining useful life prediction of aircraft lithium-ion batteries based on F-distribution particle filter and kernel smoothing algorithm
Author:
Funder
Aeronautical Science Foundation of China
Publisher
Elsevier BV
Subject
Mechanical Engineering,Aerospace Engineering
Reference24 articles.
1. Lithium-ion battery remaining useful life estimation with an optimized Relevance Vector Machine algorithm with incremental learning;Liu;Measurement,2015
2. Particle learning framework for estimating the remaining useful life of lithium-Ion batteries;Liu;IEEE Trans Instrum Meas,2017
3. Battery health prognosis using brownian motion modeling and particle filtering;Dong;IEEE Trans Ind Electron,2018
4. A hybrid framework combining data-driven and model-based methods for system remaining useful life prediction;Liao;Appl Soft Comput,2016
5. Long short-term memory recurrent neural network for remaining useful life prediction of lithium-ion batteries;Zhang;IEEE Trans Veh Technol,2018
Cited by 37 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. A novel model-data fusion method for capacity and battery remaining useful life prediction;Journal of Energy Storage;2024-09
2. CNN-DBLSTM: A long-term remaining life prediction framework for lithium-ion battery with small number of samples;Journal of Energy Storage;2024-09
3. An improved particle filtering projectile trajectory estimation algorithm fusing velocity information;Measurement;2024-09
4. Iterated rational quadratic kernel - high-order unscented Kalman filtering algorithm for spacecraft tracking;Defence Technology;2024-09
5. Adaptive nonlinear Kalman filters based on credibility theory with noise correlation;Chinese Journal of Aeronautics;2024-06
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