A neural-driven stochastic degradation model for state-of-health estimation of lithium-ion battery-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

A neural-driven stochastic degradation model for state-of-health estimation of lithium-ion battery

Published:2024-02 Issue: Volume:79 Page:110248
ISSN:2352-152X
Container-title:Journal of Energy Storage
language:en
Short-container-title:Journal of Energy Storage

Author:

Long Zhendong,Yuan Lian,Yin Aijun,Zhou Junlin,Song Lei

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment

Reference52 articles.

1. Research progress of fluorine-containing electrolyte additives for lithium ion batteries;Xu;J. Power Sources Adv.,2021

2. State of health estimation of lithium-ion battery with automatic feature extraction and self-attention learning mechanism;Jiang;J. Power Sources,2023

3. Bayesian network based state-of-health estimation for battery on electric vehicle application and its validation through real-world data;Huo;IEEE Access.,2021

4. High-efficient prediction of state of health for lithium-ion battery based on AC impedance feature tuned with Gaussian process regression;Wang;J. Power Sources,2023

5. Identifying degradation patterns of lithium ion batteries from impedance spectroscopy using machine learning;Zhang;Nat. Commun.,2020

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