Machine Learning in Lithium-Ion Battery: Applications, Challenges, and Future Trends
A Valizadeh, MH Amirhosseini - SN Computer Science, 2024 - Springer
Abstract Machine Learning has garnered significant attention in lithium-ion battery research
for its potential to revolutionize various aspects of the field. This paper explores the practical …
for its potential to revolutionize various aspects of the field. This paper explores the practical …
Unsupervised dynamic prognostics for abnormal degradation of lithium-ion battery
C Wang, Y Chen - Applied Energy, 2024 - Elsevier
Lithium-ion batteries may suffer an abnormal degradation defined by a significantly
accelerated performance drop after a period of linear and low-rate degradation, resulting in …
accelerated performance drop after a period of linear and low-rate degradation, resulting in …
Fully Distributed Adaptive Resilient Control of Networked Heterogeneous Battery Systems with Unknown Parameters
Y Qian, Z Lin, YA Shamash - IEEE Transactions on Network …, 2024 - ieeexplore.ieee.org
We investigate the distributed state-of-charge (SoC) balancing control problem of networked
heterogeneous battery systems with unknown battery parameters in the presence of actuator …
heterogeneous battery systems with unknown battery parameters in the presence of actuator …
Event-Triggered confidentiality fusion estimation against eavesdroppers in cyber-physical systems
D Xu, Z Chen, H Wang - EURASIP Journal on Advances in Signal …, 2024 - Springer
Abstract System state plays an important role in cyber-physical systems (CPSs). Ensuring
the security of the CPSs is a key issue that can be widely applied. The confidentiality of …
the security of the CPSs is a key issue that can be widely applied. The confidentiality of …
Hybrid LSTM-Graph Convolutional Neural Network with Wavelet Transform and Correlation Analysis for Electrical Demand Forecasting
Accurate electrical demand forecasting is essential for power system efficiency, renewable
energy investment, and cost-effective electricity production. For electrical demand …
energy investment, and cost-effective electricity production. For electrical demand …
Cell Lifetime Degradation Model Development for Li-Ion Coin Cells considering Calendar Aging and Post-Knee Degradation
Lithium-ion batteries are the most popular choice for power sources in the modern consumer
electronics products, due to their exceptional specific energy, specific capacity, and other …
electronics products, due to their exceptional specific energy, specific capacity, and other …
Lithium battery state of health prediction method based on online knee point warning identification of coupling temperature
H Feng, Y Liu - 2023 Global Reliability and Prognostics and …, 2023 - ieeexplore.ieee.org
The capacity of lithium-ion batteries degrades rapidly after the knee point, which means that
early warning before the knee point is more important for the continued safe use of the …
early warning before the knee point is more important for the continued safe use of the …
Decoupling-Based Battery State of Charge and State of Health Esti-Mation of Energy Storage Lithium Battery Based on a Time Series Health Indicators
Q LI, H Zhang, S Xia, F Gong, J Qiu - papers.ssrn.com
The battery state of charge (SoC) and state of health (SoH) reflect the remaining capacity
and aging degree of batteries, respectively. The accurate estimation of the two indicators …
and aging degree of batteries, respectively. The accurate estimation of the two indicators …