Lithium-ion battery management system for electric vehicles: constraints, challenges, and recommendations
Flexible, manageable, and more efficient energy storage solutions have increased the
demand for electric vehicles. A powerful battery pack would power the driving motor of …
demand for electric vehicles. A powerful battery pack would power the driving motor of …
Deep feature extraction in lifetime prognostics of lithium-ion batteries: Advances, challenges and perspectives
The wide application of lithium-ion batteries makes their lifecycle prognosis a challenging
and hot topic in the battery management research field. Feature extraction is a key step for …
and hot topic in the battery management research field. Feature extraction is a key step for …
Application of electrochemical impedance spectroscopy to degradation and aging research of lithium-ion batteries
W Hu, Y Peng, Y Wei, Y Yang - The Journal of Physical Chemistry …, 2023 - ACS Publications
An in-depth understanding of battery degradation and aging in-Operando not only plays a
vital role in the design of battery managing systems but also helps to ensure safe use and …
vital role in the design of battery managing systems but also helps to ensure safe use and …
Flexible battery state of health and state of charge estimation using partial charging data and deep learning
Accurately monitoring battery states over battery life plays a central role in building
intelligent battery management systems. This study proposes a flexible method using only …
intelligent battery management systems. This study proposes a flexible method using only …
State of health estimation for lithium-ion batteries based on hybrid attention and deep learning
Accurate state of health estimation of lithium-ion batteries is imperative for reliable and safe
operations of electric vehicles. This study presents a hybrid attention and deep learning …
operations of electric vehicles. This study presents a hybrid attention and deep learning …
Convolutional autoencoder-based SOH estimation of lithium-ion batteries using electrochemical impedance spectroscopy
The advancement of consumer electronics and electric vehicles requires heavy use of
energy sources, particularly in the form of rechargeable batteries. Although lithium-ion …
energy sources, particularly in the form of rechargeable batteries. Although lithium-ion …
Machine learning for battery research
Batteries are vital energy storage carriers in industry and in our daily life. There is continued
interest in the developments of batteries with excellent service performance and safety …
interest in the developments of batteries with excellent service performance and safety …
State of health estimation for lithium-ion battery based on energy features
D Gong, Y Gao, Y Kou, Y Wang - Energy, 2022 - Elsevier
There is a recognized need to forecast lithium-ion batteries' state of health (SOH) to
guarantee their safety and reliability. However, the selected health indicators highly …
guarantee their safety and reliability. However, the selected health indicators highly …
A novel back propagation neural network-dual extended Kalman filter method for state-of-charge and state-of-health co-estimation of lithium-ion batteries based on …
C Wang, S Wang, J Zhou, J Qiao, X Yang… - Journal of Energy Storage, 2023 - Elsevier
Abstract State-of-charge (SOC) and state-of-health (SOH) play a key role in the safety and
reliability of batteries. To improve the real-time estimation accuracy of battery state, a novel …
reliability of batteries. To improve the real-time estimation accuracy of battery state, a novel …
Data-driven-aided strategies in battery lifecycle management: prediction, monitoring, and optimization
Predicting, monitoring, and optimizing the performance and health of a battery system
entails a variety of complex variables as well as unpredictability in given conditions. Data …
entails a variety of complex variables as well as unpredictability in given conditions. Data …