Machine learning for predicting battery capacity for electric vehicles-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Machine learning for predicting battery capacity for electric vehicles

Published:2023-01 Issue: Volume:15 Page:100214
ISSN:2590-1168
Container-title:eTransportation
language:en
Short-container-title:eTransportation

Author:

Zhao Jingyuan,Ling Heping,Liu Jin,Wang Junbin,Burke Andrew F.,Lian Yubo

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Transportation,Automotive Engineering

Reference88 articles.

1. Transport solutions for cleaner air;Kelly;Science,2016

2. The coming electric vehicle transformation;Crabtree;Science,2019

3. Transportation emissions scenarios for New York City under different carbon intensities of electricity and electric vehicle adoption rates;Isik;Nat Energy,2021

4. Machine-learning techniques used to accurately predict battery life;Maitane;Nature,2019

5. Brief review of batteries for XEV applications;Zhang;eTransportation,2019

Cited by 72 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. Advancing state of health estimation for electric vehicles: Transformer-based approach leveraging real-world data;Advances in Applied Energy;2024-12

2. Artificial intelligence-driven real-world battery diagnostics;Energy and AI;2024-12

3. Bayesian impedance deconvolution using timescale distribution for lithium-ion battery state estimation;Journal of Energy Storage;2024-10

4. Physics-informed deep learning of rate-and-state fault friction;Computer Methods in Applied Mechanics and Engineering;2024-10

5. A data-fusion-model method for state of health estimation of Li-ion battery packs based on partial charging curve;Green Energy and Intelligent Transportation;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