State of charge estimation for lithium‐ion battery based on an intelligent adaptive unscented Kalman filter-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

State of charge estimation for lithium‐ion battery based on an intelligent adaptive unscented Kalman filter

Published:2020-08-11 Issue:14 Volume:44 Page:11199-11218
ISSN:0363-907X
Container-title:International Journal of Energy Research
language:en
Short-container-title:Int J Energy Res

Author:

Sun Daoming¹,Yu Xiaoli¹,Zhang Cheng²,Wang Chongming²,Huang Rui¹

Affiliation:

1. Department of Energy Engineering Zhejiang University Hangzhou China

2. Centre for Advanced Low Carbon Propulsion Systems Coventry University Coventry UK

Funder

Engineering and Physical Sciences Research Council

Zhejiang University

National Natural Science Foundation of China

British Council

China Scholarship Council

Publisher

Wiley

Subject

Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/er.5690

Reference47 articles.

1. An improved state of charge estimation method based on cubature Kalman filter for lithium-ion batteries

2. A model‐based and data‐driven joint method for state‐of‐health estimation of lithium‐ion battery in electric vehicles

3. State of charge estimation for LiMn2O4 power battery based on strong tracking sigma point Kalman filter

4. On-line optimization of battery open circuit voltage for improved state-of-charge and state-of-health estimation

5. A multi-model probability SOC fusion estimation approach using an improved adaptive unscented Kalman filter technique

Cited by 37 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. Advanced State of Charge Estimation Using Deep Neural Network, Gated Recurrent Unit, and Long Short-Term Memory Models for Lithium-Ion Batteries under Aging and Temperature Conditions;Applied Sciences;2024-07-30

2. An improved genetic-back propagation network constructing strategy for high-precision state-of-charge estimation of complex-current-temperature-variation lithium-ion batteries;Ionics;2024-04-30

3. SOC estimation for lithium-ion battery based on AGA-optimized AUKF;Journal of Energy Storage;2024-01

4. Extended Battery Parameter Synthetic Data Generation Using Sparse Attention Mechanism;2023 IEEE Women in Technology Conference (WINTECHCON);2023-09-21

5. Noise-immune state of charge estimation for lithium-ion batteries based on optimized dynamic model and improved adaptive unscented Kalman filter under wide temperature range;Journal of Energy Storage;2023-08

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