State of health prediction of lithium-ion batteries based on bidirectional gated recurrent unit and transformer
Lithium-ion batteries have been widely used in various aspects of our lives, playing a crucial
role in numerous applications. The state of health (SOH) serves as a pivotal indicator, and …
role in numerous applications. The state of health (SOH) serves as a pivotal indicator, and …
Remaining useful life prediction of lithium-ion batteries based on data preprocessing and improved ELM
W Wu, S Lu - IEEE Transactions on Instrumentation and …, 2023 - ieeexplore.ieee.org
Accurate prediction of the remaining useful life (RUL) of lithium-ion batteries (LIBs) can
provide an important reference for the safe operation of LIBs. At present, there are some …
provide an important reference for the safe operation of LIBs. At present, there are some …
Remaining useful life prediction for lithium-ion batteries based on CS-VMD and GRU
G Ding, W Wang, T Zhu - IEEE Access, 2022 - ieeexplore.ieee.org
Accurate prediction the remaining useful life (RUL) and estimation the state of health (SOH)
are critical to the management of lithium-ion batteries. In this paper, a lithium battery capacity …
are critical to the management of lithium-ion batteries. In this paper, a lithium battery capacity …
[PDF][PDF] 基于天牛须搜索算法的短期风电功率组合预测
单斌斌， 李华， 谷瑞政， 李玲玲 - 科学技术与工程, 2022 - stae.com.cn
摘要为了提高风电功率预测精度, 提出了一种完全集成经验模态分解(complete ensemble
empirical mode decomposition adaptive noise, CEEMDAN), 极限学习机(extreme learning …
empirical mode decomposition adaptive noise, CEEMDAN), 极限学习机(extreme learning …
Two-phase early prediction method for remaining useful life of lithium-ion batteries based on a neural network and Gaussian process regression
Z Wei, C Liu, X Sun, Y Li, H Lu - Frontiers in Energy, 2024 - Springer
Lithium-ion batteries (LIBs) are widely used in transportation, energy storage, and other
fields. The prediction of the remaining useful life (RUL) of lithium batteries not only provides …
fields. The prediction of the remaining useful life (RUL) of lithium batteries not only provides …
A novel remaining useful life prediction method based on CEEMDAN-IFTC-PSR and ensemble CNN/BiLSTM model for cutting tool
L Wan, K Chen, Y Li, Y Wu, Z Wang, C Li - IEEE Access, 2022 - ieeexplore.ieee.org
To accurately predict the remaining useful life (RUL) of cutting tool, a novel RUL prediction
method is proposed. Firstly, the complete ensemble empirical mode decomposition with …
method is proposed. Firstly, the complete ensemble empirical mode decomposition with …
Deep machine learning approaches for battery health monitoring
S Singh, PR Budarapu - Energy, 2024 - Elsevier
The performance and longevity of batteries can be measured through battery parameters,
like: state of charge, state of health, and remaining useful life. Therefore, accurate estimation …
like: state of charge, state of health, and remaining useful life. Therefore, accurate estimation …
[PDF][PDF] 基于数据预处理和VMD-LSTM-GPR 的锂离子电池剩余寿命预测
李英顺， 阚宏达， 郭占男， 王德彪， 王铖 - 电工技术学报, 2024 - dgjsxb.ces-transaction.com
摘要锂离子电池的剩余使用寿命(RUL) 是健康管理中重要参数, 其准确评估对于保证电池设备的
安全稳定运行非常重要. 本文提出一种数据预处理联合变分模态分解(VMD) …
安全稳定运行非常重要. 本文提出一种数据预处理联合变分模态分解(VMD) …
Method of creation of power sources for home appliances under constraints of limited resources
A Perepelitsyn, A Tetskyi - Radioelectronic and Computer Systems, 2023 - nti.khai.edu
The subject of study in this article is the voltage ranges, methods, and tools for prototyping
independent sources of power supply and artificial lighting for home appliances with reuse …
independent sources of power supply and artificial lighting for home appliances with reuse …