An online dual filters RUL prediction method of lithium-ion battery based on unscented particle filter and least squares support vector machine-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

An online dual filters RUL prediction method of lithium-ion battery based on unscented particle filter and least squares support vector machine

Published:2021-11 Issue: Volume:184 Page:109935
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Li Xin^ORCID,Ma Yan,Zhu Jiajun

Funder

National Natural Science Foundation of China

Jilin Provincial Science and Technology Department

Jilin Province Key Research Development Plan Project

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference36 articles.

1. Distribution system services provided by electric vehicles: Recent status, challenges, and future prospects;Bañol Arias;IEEE Trans. Intell. Transp. Syst.,2019

2. Influence of measurement and prediction uncertainties on range estimation for electric vehicles;Sautermeister;IEEE Trans. Intell. Transp. Syst.,2018

3. A review on the key issues for lithium-ion battery management in electric vehicles;Lu;J. Power Sources,2013

4. Energy efficiency: A critically important but neglected factor in battery research;Eftekhari;Sustainable Energy Fuels,2017

5. Battery lifetime prognostics;Hu;Joule,2020

Cited by 69 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. Aging mechanisms, prognostics and management for lithium-ion batteries: Recent advances;Renewable and Sustainable Energy Reviews;2025-01

2. A novel method for remaining useful life of solid-state lithium-ion battery based on improved CNN and health indicators derivation;Mechanical Systems and Signal Processing;2024-11

3. A novel model-data fusion method for capacity and battery remaining useful life prediction;Journal of Energy Storage;2024-09

4. A deep learning framework for the joint prediction of the SOH and RUL of lithium-ion batteries based on bimodal images;Energy;2024-09

5. Predicting the Future Capacity and Remaining Useful Life of Lithium-Ion Batteries Based on Deep Transfer Learning;Batteries;2024-08-28

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