State of health estimation of lithium-ion batteries with a temporal convolutional neural network using partial load profiles-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

State of health estimation of lithium-ion batteries with a temporal convolutional neural network using partial load profiles

Published:2023-01 Issue: Volume:329 Page:120307
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Bockrath Steffen^ORCID,Lorentz Vincent,Pruckner Marco

Funder

European Commission

Bundesministerium für Bildung und Forschung

Horizon 2020 Framework Programme

Horizon 2020

Electronic Components and Systems for European Leadership

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction

Reference81 articles.

1. Status and challenges in enabling the lithium metal electrode for high-energy and low-cost rechargeable batteries;Albertus;Nat Energy,2017

2. A reflection on lithium-ion battery cathode chemistry;Manthiram;Nature Commun,2020

3. Circular economy strategies for electric vehicle batteries reduce reliance on raw materials;Baars;Nat Sustain,2021

4. Technological, economic and environmental prospects of all-electric aircraft;Schäfer;Nat Energy,2019

5. Challenges and key requirements of batteries for electric vertical takeoff and landing aircraft;Yang;Joule,2021

Cited by 46 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 state of health estimation method for lithium-ion battery pack based on cross generative adversarial networks;Applied Energy;2025-01

2. Advancing state of health estimation for electric vehicles: Transformer-based approach leveraging real-world data;Advances in Applied Energy;2024-12

3. A hybrid model for state of charge estimation of lithium-ion batteries utilizing improved adaptive extended Kalman filter and long short-term memory neural network;Journal of Power Sources;2024-11

4. SOH early prediction of lithium-ion batteries based on voltage interval selection and features fusion;Energy;2024-11

5. A review of data-driven whole-life state of health prediction for lithium-ion batteries: Data preprocessing, aging characteristics, algorithms, and future challenges;Journal of Energy Chemistry;2024-10

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