Remaining Useful Life Prediction of Lithium-Ion Batteries Based on Data Preprocessing and Improved ELM
Author:
Affiliation:
1. School of Electrical and Control Engineering, Xi'an University of Science and Technology, Xi'an, China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/19/10012124/10102570.pdf?arnumber=10102570
Reference39 articles.
1. An indirect RUL prognosis for lithium-ion battery under vibration stress using Elman neural network
2. A complete ensemble empirical mode decomposition with adaptive noise
3. An indirect prediction method of remaining life based on glowworm swarm optimization and extreme learning machine for lithium battery
4. ENSEMBLE EMPIRICAL MODE DECOMPOSITION: A NOISE-ASSISTED DATA ANALYSIS METHOD
5. The Remaining Useful Life Prediction by Using Electrochemical Model in the Particle Filter Framework for Lithium-Ion Batteries
Cited by 22 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. Hybrid Method for Remaining Useful Life Prediction of Power IGBT Modules in High-Speed Trains;IEEE Transactions on Power Electronics;2024-11
2. Edge–cloud collaborative estimation lithium-ion battery SOH based on MEWOA-VMD and Transformer;Journal of Energy Storage;2024-10
3. Early Prognostics of Remaining Useful Life in Lithium Ion Batteries Using Hybrid LSTM-Att-MLP Model with Fusing Aging Information;Journal of The Electrochemical Society;2024-08-01
4. A Hybrid Data-Driven Method Based on Data Preprocessing to Predict the Remaining Useful Life of Lithium-Ion Batteries;Journal of Electrochemical Energy Conversion and Storage;2024-07-26
5. Remaining Useful Life Prediction of Lithium-Ion Batteries Based on Neural Network and Adaptive Unscented Kalman Filter;Electronics;2024-07-04
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