An Enhanced Data-Driven Model for Lithium-Ion Battery State-of-Health Estimation with Optimized Features and Prior Knowledge-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

An Enhanced Data-Driven Model for Lithium-Ion Battery State-of-Health Estimation with Optimized Features and Prior Knowledge

Published:2022-04 Issue:2 Volume:5 Page:134-145
ISSN:2096-4250
Container-title:Automotive Innovation
language:en
Short-container-title:Automot. Innov.

Author:

Huang Huanyang,Meng Jinhao^ORCID,Wang Yuhong,Cai Lei,Peng Jichang,Wu Ji,Xiao Qian,Liu Tianqi,Teodorescu Remus

Funder

department of science and technology of sichuan province

postdoctoral research foundation of china

hunan provincial science and technology department

the fund of robot technology used for special environment key laboratory of sichuan province

Publisher

Springer Science and Business Media LLC

Subject

Automotive Engineering

Link

https://link.springer.com/content/pdf/10.1007/s42154-022-00175-3.pdf

Reference39 articles.

1. Hu, X., Zou, C., Zhang, C., et al.: Technological developments in batteries: a survey of principal roles, types, and management needs. IEEE Power and Energy Mag. 15(5), 20–31 (2017). https://doi.org/10.1109/MPE.2017.2708812

2. Che, Y., Foley, A., El-Gindy, M., et al.: Joint estimation of inconsistency and state of health for series battery packs. Automot. Innov. 4(1), 103–116 (2021). https://doi.org/10.1007/s42154-020-00128-8

3. Barré, A., Deguilhem, B., Grolleau, S., et al.: A review on lithium-ion battery ageing mechanisms and estimations for automotive applications. J. Power Sources. 241, 680–689 (2013). https://doi.org/10.1016/j.jpowsour.2013.05.040

4. Jafari, M., Gauchia, A., Zhao, S., Zhang, K., Gauchia, L.: Electric vehicle battery cycle aging evaluation in real-world daily driving and vehicle-to-grid services. IEEE Trans. Transp. Electrif. 4(1), 122–134 (2017). https://doi.org/10.1109/TTE.2017.2764320

5. Birkl, C.R., Roberts, M.R., McTurk, E., Bruce, P.G., Howey, D.A.: Degradation diagnostics for lithium ion cells. J. Power Sources. 341, 373–386 (2017). https://doi.org/10.1016/j.jpowsour.2016.12.011

Cited by 19 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 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

2. Deep learning method for online parameter identification of lithium-ion batteries using electrochemical synthetic data;Energy Storage Materials;2024-09

3. A high-fidelity lithium-ion battery emulator for electric vehicle application;Scientific Reports;2024-08-26

4. Driving behavior-guided battery health monitoring for electric vehicles using extreme learning machine;Applied Energy;2024-06

5. Physical Prior knowledge as constraints to predict State of Health for lithium-ion batteries;2024 IEEE International Instrumentation and Measurement Technology Conference (I2MTC);2024-05-20

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