检索结果-南通市图书馆

Adaptive Fitting capacity prediction Method for Lithium‑Ion Batteries

Automotive Innovation 2022年第4期5卷 359-375页

作者： Xiao Chu Fangyu Xue Tao Liu Junya Shao Junfu Li School of Automotive Engineering Harbin Institute of Technology2 West Wenhua RoadHuancui DistrictWeihai 264209China Guangdong Guanghua Sci-Tech Co. Ltd.Shantou 515000China School of Chemical Engineering and Chemistry Harbin Institute of TechnologyHarbin 150001China

Lithium-ion batteries have become the mainstream power source for electric vehicles because of their excellent ***,lithium-ion batteries still experience aging and capacity attenuation during *** is therefore critical to accu-rately predict battery remaining capacity for increasing battery safety and prolonging battery *** paper first adopts the metabolism grey algorithm and a simplified electrochemical model to predict battery capacity under different operating *** improve the prediction performance where the capacity changes nonlinearly,a decoupling analysis of battery capacity loss is then conducted based on the simplified electrochemical ***,an adaptive fitting method is devel-oped for capacity prediction,aiming at improving the prediction accuracy at the inflection point of battery capacity *** prediction results indicate that the developed adaptive fitting method can achieve high prediction accuracy under battery capacity attenuation at different discharge stages with errors lower than 2.2%.And the battery capacity decay shows linear variation,and the proposed method effectively forecast the inflection point of battery capacity diving.

关键词： Lithium-ion battery capacity prediction capacity diving Adaptive fitting capacity prediction

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

A prediction Method of Trend-Type capacity Index Based on Recurrent Neural Network

引用

Journal of Quantum Computing 2021年第1期3卷 25-33页

作者： Wenxiao Wang Xiaoyu Li Yin Ding Feizhou Wu Shan Yang School of Information and Software Engineering University of Electronic Science and Technology of ChinaChengduChina SI-TECH Information Technology Company Limited BeijingChina Department of Chemistry Physics and Atmospheric SciencesJackson State UniversityJacksonUSA

Due to the increase in the types of business and equipment in telecommunications companies,the performance index data collected in the operation and maintenance process varies *** diversity of index data makes it very difficult to perform high-precision capacity *** order to improve the forecasting efficiency of related indexes,this paper designs a classification method of capacity index data,which divides the capacity index data into trend type,periodic type and irregular *** for the prediction of trend data,it proposes a capacity index prediction model based on Recurrent Neural Network(RNN),denoted as *** model includes a basic RNN,two Long Short-Term Memory(LSTM)networks and two Fully Connected *** experimental results show that,compared with the traditional Holt-Winters,Autoregressive Integrated Moving Average(ARIMA)and Back Propagation(BP)neural network prediction model,the mean square error(MSE)of the proposed RNN-LSTM-LSTM model are reduced by 11.82%and 20.34%on the order storage and data migration,which has greatly improved the efficiency of trend-type capacity index prediction.

关键词： Recurrent Neural Network(RNN) Long Short-Term Memory(LSTM)network capacity prediction

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

capacity predictions for LFP-based Battery Electrode Formulation:A Data-Driven Approach

Capacity Predictions for LFP-based Battery Electrode Formula...

引用

第21届中国系统仿真技术及其应用学术年会

作者： Liu Kailong Tang Xiaopeng Zhang Yeshui Li Weihan WMG University of Warwick Department of Chemical and Biological Engineering The Hong Kong University of Science and Technology Guangzhou HKUST Fok Ying Tung Research Institute Department of Chemical Engineering University College London Faculty of Electrical Engineering and Information Technology RWTH Aachen University

Lithium-ion battery has become one popular power source in transportation electrification applications such as electric vehicles and hybrid electric *** energy conversion within the battery significantly relies on the properties of the electrode made of some material components interacting with one *** to the complicated process of electrode manufacturing,a reliable system simulation solution that could predict the manufactured battery electrode properties and quantify the importance weights of component variables of interest is crucial for the battery electrode *** present article scrutinizes the sensitivity analysis of material components on the capacities of LiFePO(LFP)-based battery electrode formulation via the regression *** be specific,a neighborhood component analysis-based data-driven approach is designed to well quantify the importance weights of five interested material component variables and effectively predict the resulted half-cell’s *** results reveal that the proposed approach is able to accurately capture the underlying mappings between material components and three different capacities under 25/C,5 C,and 15 C ***,the most important component variables can be effectively discovered for model *** to the merits in terms of accuracy and generalization,the designed data-driven approach can not only conduct reliable capacity predictions but also guide the monitoring and optimization of material components for better battery electrode production.

关键词： capacity prediction System modeling and simulation Data-driven approach Battery electrode production

来源： cnki会议评论

在线全文

cnki会议

学校读者我要写书评

暂无评论

prediction of multi-borehole undermine coalbed gas drainage

引用

Journal of Coal Science & Engineering(China) 2009年第3期15卷 295-298页

作者： ZHANG Zhi-gang Chongqing Research Institute China Coal Research Institute Chongqing 400037 China

By analyzing the flow character of a single drainage borehole in its effectingtime and the correlative theory introduced,the reason for 'inflexion' appearance in theflow character curve of the single draining borehole in a multi-borehole was *** theory of permeation fluid mechanics and so on as basis,the coalbed gas flowmodel was set up,and the numerical simulation analyzer was built for undermine *** the results from the analyzer,the gas capacity could be calculated underdifferent conditions and comparisons made with the site measurement data.

关键词： multi-borehole undermine coalbed gas drainage capacity prediction

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：