State-of-health estimation of lithium-ion batteries based on electrochemical impedance spectroscopy: a review
Lithium-ion batteries (LIBs) are crucial for the large-scale utilization of clean energy.
However, because of the complexity and real-time nature of internal reactions, the …
However, because of the complexity and real-time nature of internal reactions, the …
Artificial intelligence applied to battery research: hype or reality?
This is a critical review of artificial intelligence/machine learning (AI/ML) methods applied to
battery research. It aims at providing a comprehensive, authoritative, and critical, yet easily …
battery research. It aims at providing a comprehensive, authoritative, and critical, yet easily …
Data-driven capacity estimation of commercial lithium-ion batteries from voltage relaxation
Accurate capacity estimation is crucial for the reliable and safe operation of lithium-ion
batteries. In particular, exploiting the relaxation voltage curve features could enable battery …
batteries. In particular, exploiting the relaxation voltage curve features could enable battery …
Identifying degradation patterns of lithium ion batteries from impedance spectroscopy using machine learning
Forecasting the state of health and remaining useful life of Li-ion batteries is an unsolved
challenge that limits technologies such as consumer electronics and electric vehicles. Here …
challenge that limits technologies such as consumer electronics and electric vehicles. Here …
Machine learning pipeline for battery state-of-health estimation
Lithium-ion batteries are ubiquitous in applications ranging from portable electronics to
electric vehicles. Irrespective of the application, reliable real-time estimation of battery state …
electric vehicles. Irrespective of the application, reliable real-time estimation of battery state …
An encoder-decoder fusion battery life prediction method based on Gaussian process regression and improvement
The prediction ability of all traditional machine learning models is limited to a few batteries.
When the RUL of more batteries needs to be predicted, the prediction performance of …
When the RUL of more batteries needs to be predicted, the prediction performance of …
A comparative study of different features extracted from electrochemical impedance spectroscopy in state of health estimation for lithium-ion batteries
Battery state of health (SOH) estimation is a critical but challenging demand in advanced
battery management technologies. As an essential parameter, battery impedance contains …
battery management technologies. As an essential parameter, battery impedance contains …
State of health estimation of lithium-ion battery based on improved ant lion optimization and support vector regression
The state of health (SOH) estimation plays an important role in kee** the safe and stable
operation of lithium-ion battery management system (BMS). To solve the problem of low …
operation of lithium-ion battery management system (BMS). To solve the problem of low …
A data-driven approach with uncertainty quantification for predicting future capacities and remaining useful life of lithium-ion battery
Predicting future capacities and remaining useful life (RUL) with uncertainty quantification is
a key but challenging issue in the applications of battery health diagnosis and management …
a key but challenging issue in the applications of battery health diagnosis and management …
Perspectives and challenges for future lithium-ion battery control and management
The safety issue of the lithium-ion batteries is the key to their application and development.
The management of lithium-ion batteries has been a hot topic of research for many years …
The management of lithium-ion batteries has been a hot topic of research for many years …