Future Batteries最新文献

筛选
英文 中文
Enhancing prediction accuracy of Remaining Useful Life in lithium-ion batteries: A deep learning approach with Bat optimizer 提高锂离子电池剩余使用寿命的预测精度:带有蝙蝠优化器的深度学习方法
Future Batteries Pub Date : 2024-06-01 DOI: 10.1016/j.fub.2024.100003
Shahid A. Hasib , S. Islam , Md F. Ali , Subrata. K. Sarker , Li Li , Md Mehedi Hasan , Dip K. Saha
{"title":"Enhancing prediction accuracy of Remaining Useful Life in lithium-ion batteries: A deep learning approach with Bat optimizer","authors":"Shahid A. Hasib ,&nbsp;S. Islam ,&nbsp;Md F. Ali ,&nbsp;Subrata. K. Sarker ,&nbsp;Li Li ,&nbsp;Md Mehedi Hasan ,&nbsp;Dip K. Saha","doi":"10.1016/j.fub.2024.100003","DOIUrl":"https://doi.org/10.1016/j.fub.2024.100003","url":null,"abstract":"<div><p>Remaining Useful Life (RUL) prediction in lithium-ion batteries is crucial for assessing battery performance. Despite the popularity of deep learning methods for RUL prediction, their complex architectures often pose challenges in interpretation and resource consumption. We propose a novel approach that combines the interpretability of a convolutional neural network (CNN) with the efficiency of a bat-based optimizer. CNN extracts battery data features and characterizes degradation kinetics, while the optimizer refines CNN parameters. Tested on NASA PCoE data, our method achieves exceptional results with minimal computational burden and fewer parameters. It outperforms traditional approaches, yielding an <strong>R2-score</strong> of <strong>0.9987120</strong>, an <strong>MAE</strong> of <strong>0.004397067 Ah</strong>, and a low <strong>RMSE</strong> of <strong>0.00656 Ah</strong>. The proposed model outperforms traditional deep learning models, as confirmed by comparative analysis.</p></div>","PeriodicalId":100560,"journal":{"name":"Future Batteries","volume":"2 ","pages":"Article 100003"},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2950264024000030/pdfft?md5=be1fc3a71e46f09dd45d43a2d6ef742b&pid=1-s2.0-S2950264024000030-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141485376","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Influence of temperature, state of charge and state of health on the thermal parameters of lithium-ion cells: Exploring thermal behavior and enabling fast-charging 温度、充电状态和健康状态对锂离子电池热参数的影响:探索热行为并实现快速充电
Future Batteries Pub Date : 2024-04-01 DOI: 10.1016/j.fub.2024.100001
Luca Tendera , Hendrik Pegel , Carlos Gonzalez , Dominik Wycisk , Alexander Fill , Kai Peter Birke
{"title":"Influence of temperature, state of charge and state of health on the thermal parameters of lithium-ion cells: Exploring thermal behavior and enabling fast-charging","authors":"Luca Tendera ,&nbsp;Hendrik Pegel ,&nbsp;Carlos Gonzalez ,&nbsp;Dominik Wycisk ,&nbsp;Alexander Fill ,&nbsp;Kai Peter Birke","doi":"10.1016/j.fub.2024.100001","DOIUrl":"https://doi.org/10.1016/j.fub.2024.100001","url":null,"abstract":"<div><p>The precise input of thermal parameters is essential for thermal simulation. Although constant thermal parameters are commonly used for parametrizing thermal modeling frameworks, extensive measurements indicate a significant dependence of thermal parameters on temperature, SOC and SOH. Therefore, this work summarizes experimental data and integrates determined operating point dependencies into a validated thermal-electrical-electrochemical modeling framework. Exploring the effect of variable thermal parameters, detailed effects on fast-charging and corresponding charging times are assessed.</p><p>It is found that the strong reduction in through-plane thermal conductivity due to aging can notably increase thermal inhomogeneity. Thus, heat dissipation is reduced and the thermal management has to be revised to prevent an increase in charging time of up to 3%. However, the operating point-dependent through-plane thermal conductivity has no significant effect on fast-charging for the analyzed pristine cylindrical lithium-ion cell. Furthermore, a temperature-dependent specific heat capacity definition considerably affects the thermal behavior of lithium-ion cells at extreme temperatures. While enabling a faster heating at low temperatures, a temperature-related current derating at high temperatures is delayed. Thus, a variable thermal parameter definition can lead to an increase in fast-charging capability of up to 3% due to the more precise modeling of the physical behavior of the cell.</p></div>","PeriodicalId":100560,"journal":{"name":"Future Batteries","volume":"1 ","pages":"Article 100001"},"PeriodicalIF":0.0,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2950264024000017/pdfft?md5=9e9fc4915a5f835d6ccde23bd1e82ecd&pid=1-s2.0-S2950264024000017-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140351069","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信